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Machine Learning Engineer New Grad Jobs in Hawaii

KBR

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

... machine learning, and operations research to provide robust and flexible testing and evaluation ... Experience designing, building, and maintaining both new and existing data systems and solutions

Cymertek Corporation

Analytic Cloud Developer

Honolulu, HI · On-site

$55.50 - $76/hr

Cymertek Corporation is seeking an innovative Analytic Cloud Developer to join their team. In this ... with machine learning • Understanding of big data frameworks • Strong collaboration and ...

GRVTY

Data Scientist 2

Honolulu, HI

$125K - $155K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python ...

Booz Allen Hamilton

OSINT Data Scientist

Honolulu, HI · On-site

$77K - $176K/yr

In an increasingly connected world, massive amounts of structured and unstructured data open new ... Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ...

Booz Allen Hamilton, Inc.

OSINT Data Scientist

Honolulu, HI · On-site

$77K - $176K/yr

In an increasingly connected world, massive amounts of structured and unstructured data open new ... Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ...

Booz Allen Hamilton

OSINT Data Scientist

Honolulu, HI · On-site

$77K - $176K/yr

In an increasingly connected world, massive amounts of structured and unstructured data open new ... Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ...

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Machine Learning Engineer New Grad information

See Hawaii salary details

$32.7K

$133.8K

$201K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 12, 2026, the average yearly pay for machine learning engineer new grad 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 is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Hawaii? For Machine Learning Engineer New Grad jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Hawaii look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Hawaii are:
What cities in Hawaii are hiring for Machine Learning Engineer New Grad jobs? Cities in Hawaii with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you

Data Scientist 2 with Security Clearance

GRVTY

Honolulu, HI • On-site

Other

Posted 7 days ago

Job description

What You'll be Owning: * We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. * Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics. What You Must Have : * Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred * Active TS/SCI w/poly What Would Be Nice to Have: * Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, * Statistics, computer science, and application specific knowledge. * Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations.

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