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Machine Learning Engineer Jobs in Hawaii (NOW HIRING)

... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters

... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters

... engineers building and deploying models. What you'll do: * Design, build, and maintain secure ... Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive ...

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist ...

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist ...

Senior AI/ML Engineer

Honolulu, HI · On-site +1

$103.40K - $141.90K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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Machine Learning Engineer information

See Hawaii salary details

$32.7K

$133.8K

$201K

How much do machine learning engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine learning engineer in Hawaii is $133,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $161,000.00 per year, depending on experience, location, and employer.

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 are Machine Learning Engineers?

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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.

What are the most commonly searched types of Machine Learning Engineer jobs in Hawaii? The most popular types of Machine Learning Engineer jobs in Hawaii are:
What are popular job titles related to Machine Learning Engineer jobs in Hawaii? For Machine Learning Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Hawaii look for? The top searched job categories for Machine Learning Engineer jobs in Hawaii are:
What cities in Hawaii are hiring for Machine Learning Engineer jobs? Cities in Hawaii with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in HI? For Machine Learning Engineer jobs in HI, the most frequently searched job titles are:
Data Scientist (Active Secret Clearance)

Data Scientist (Active Secret Clearance)

Striveworks

Schofield Barracks, HI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Build, Deploy, and Maintain AI for an Unpredictable World
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
With Striveworks, organizations aren't just deploying AI-they're building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they're deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs-and enabling confident, data-driven decision-making in dynamic environments.
The Role
As a Data Scientist at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.
You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You're outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks' product teams.
Your day-to-day will include:
  • Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
  • Implementing AI-based software solutions for cloud and edge environments
  • Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.
The Right Fit
In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust.
Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Here's what we're looking for:
  • BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience
  • Proficiency in machine learning and data science, and applying both to image and video data
  • Proficiency in implementing and analyzing data structures and algorithms
  • Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
  • Exposure to software development life cycle and tools (e.g., Git, Agile)
  • Active Secret (or above) US security clearance
  • Due to the nature of this role, candidates must have US citizenship
The Wish List
We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
  • Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
  • Experience deploying machine learning and data science, and applying both to production environments
  • Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
  • Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
  • Experience building AI agents and agentic workflows
  • Experience implementing ETL pipelines, data pipelines, and/or workflow automation
  • Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
  • Experience building full-stack applications (i.e., back end, front end, REST)
  • Experience delivering technology solutions in secure government environments
  • Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $175,000-$205,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
The Benefits
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Check us out on Built In!
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.