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Machine Learning Engineer New Grad Jobs in Honolulu, HI

You should be comfortable working in dynamic environments, learning new tools and technologies, and ... Machine Learning Engineer, AI Engineer, Robotics Software Engineer, etc. DEGREE (Level Desired ...

SIMILAR CAREER TITLES Data Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business ...

Analytic Cloud Developer

Honolulu, HI ยท On-site

$55.50 - $76/hr

... Machine Learning Engineer, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Cloud Computing, Data Science, Information Technology, Software Engineering, Artificial ...

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

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

Showing results 41-60

Machine Learning Engineer New Grad information

See Honolulu, HI salary details

$31.1K

$127.2K

$191.1K

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

As of Aug 9, 2026, the average yearly pay for machine learning engineer new grad in Honolulu, HI is $127,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

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 Honolulu, HI? For Machine Learning Engineer New Grad jobs in Honolulu, HI, the most frequently searched job titles are:

Data Scientist / Cloud Software Engineer

Cymertek

Honolulu, HI โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Data Scientist / Cloud Software Engineer
LOCATION
Honolulu, HI 96815
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are looking for a talented Data Scientist / Cloud Software Engineer to join our team and contribute to the development of innovative cloud-based solutions that leverage advanced data analytics. In this role, you will work on designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making. The ideal candidate will have a strong understanding of both cloud infrastructure and data analytics, with a passion for solving complex problems and transforming large datasets into actionable solutions. If you enjoy working in a dynamic environment where technology meets business impact, we encourage you to apply and help shape the future of our data-driven products and services.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, Cloud Data Scientist, Cloud Software Developer, Cloud Solutions Architect, Data Analyst, Cloud Architect, Machine Learning Engineer, Big Data Engineer, Cloud Platform Engineer, AI Engineer, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Design and implement cloud-based data solutions
  • Build scalable data processing workflows
  • Develop and maintain machine learning models
  • Collaborate with cross-functional teams to deliver insights
  • Ensure data security and compliance
  • Document and communicate technical solutions

REQUIRED SKILLS
  • Proficiency in Python or Java
  • Experience with cloud platforms like AWS or GCP
  • Expertise in big data tools like Spark or Hadoop
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch
  • Knowledge of SQL and NoSQL databases
  • Ability to optimize and monitor cloud-based pipelines

DESIRED SKILLS
  • Familiarity with Infrastructure as Code (IaC) tools
  • Knowledge of real-time data processing platforms
  • Understanding of advanced statistical methods
  • Experience with serverless computing models
  • Knowledge of containerization tools like Docker or Kubernetes
  • Ability to integrate machine learning models into production systems

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.