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Founding Machine Learning Engineer Jobs in Hampton, VA

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Founding Machine Learning Engineer information

See Hampton, VA salary details

$30.4K

$124.4K

$187K

How much do founding machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for founding machine learning engineer in Hampton, VA is $124,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,800.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

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

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in Hampton, VA?

For Founding Machine Learning Engineer jobs in Hampton, VA, the most frequently searched job titles are:

What job categories do people searching Founding Machine Learning Engineer jobs in Hampton, VA look for?

The top searched job categories for Founding Machine Learning Engineer jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Founding Machine Learning Engineer jobs?

Cities near Hampton, VA with the most Founding Machine Learning Engineer job openings:

Infographic showing various Founding Machine Learning Engineer job openings in Hampton, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,447 per year, or $59.8 per hour.

Machine Learning Engineer - Training & Simulation Systems (Engineer Machine Learning 2)

Huntington Ingalls Industries

Virginia Beach, VA • On-site

$95K - $122K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,873 frontline employees who took The Breakroom Quiz


Job description

Requisition Number: 29568
Required Travel: 0 - 10%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $95,004.00 - $122,000.00
Security Clearance: Secret
Level of Experience: Mid
This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business.
As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts.
For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness.
HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges.
Leadership Mindset at HII - Mission Technologies
Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes-regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:
  • Know & Grow Your People - Commit to learning and supporting team success.
  • Build Relationships - Communicate openly, collaborate well, and build trust.
  • Take Ownership - Deliver on commitments and take pride in your work.
  • Customer First - Focus on the mission and those we serve.
  • Shape the Future - Bring ideas, curiosity, and continuous improvement.
  • Act with Urgency - Take initiative and follow through with purpose.

These capabilities guide how all employees contribute to our shared success across Mission Technologies.
Summary
HII Mission Technologies is seeking a Machine Learning Engineer to support the design, development, and deployment of advanced training and simulation capabilities within the Advanced Training Domain (ATD) System-a shipboard combat system trainer that enhances U.S. Navy operational readiness. This full-time, on-site role is part of a high-performing engineering team delivering mission-driven solutions that improve warfighter training and decision-making.
In this role, you will help integrate machine-learning and data-driven capabilities that elevate the realism, adaptability, and performance of next-generation combat system training environments.
Impact, Growth & Development
  • Strengthen U.S. Navy readiness by engineering ML solutions that improve training fidelity and system performance
  • Collaborate with software engineers, data engineers, analysts, and end users to solve operationally relevant challenges
  • Grow your skills through hands-on work with high-fidelity simulation systems, real-world training data, and modern ML/AI toolchains
  • Contribute to innovations that shape future combat system training platforms

Key Job Responsibilities
  • Participate in Agile sprint planning and execution across cross-functional engineering teams
  • Design, develop, and deploy machine learning models supporting simulation accuracy, data analytics, performance prediction, and system-behavior modeling
  • Build data pipelines for collection, preprocessing, labeling, and training using structured and unstructured Navy training data
  • Integrate ML models into Linux-based training systems using containers, APIs, or embedded inference engines
  • Troubleshoot, optimize, and maintain ML workflows including performance tuning, error analysis, and model explainability
  • Develop supporting documentation such as architecture diagrams, data-flow documentation, model cards, evaluation reports, and code commentary
  • Conduct developer testing in lab environments and aboard ship when required
  • Provide occasional on-site support for installations, model validation, and user evaluations (up to 10% travel)
  • Perform additional related duties as assigned to support project and organizational needs

What you must have
Required Education & Experience
  • 2 years of relevant experience with a Bachelor's degree in a related field, OR
  • 0 years of experience with a Master's degree in a related field, OR
  • High school diploma or equivalent and 6 years of relevant experience

Required Knowledge & Skills
  • Experience developing and deploying machine learning models using Python frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Hands-on experience with Linux-based development environments
  • Familiarity with Agile/Scrum methodologies
  • Experience implementing data pipelines, feature engineering, and model-training/evaluation workflows
  • Ability to troubleshoot complex software, data, or model-related issues

Required Credentials
  • Ability to otain a DoD Information Assurance Technician (IAT) Level II certification or higher (e.g., Security+ CE, CCNA Security, CySA+) within 3 months of hire if not currently held.
  • Must be a U.S. Citizen
  • Must hold a current or active DoD Secret clearance

Preferred Requirements
  • Degree in Computer Science, Data Science, ML/AI, Engineering, or related technical field
  • IAT Level II certification or higher (e.g., Security+ CE, CCNA Security, CySA+)
  • Experience with high-fidelity training systems, simulation environments, or Navy combat systems
  • Experience deploying ML models in operational or real-time systems (e.g., REST APIs, message queues, embedded inference)
  • Familiarity with ActiveMQ, messaging systems, or streaming-data frameworks
  • Experience with MLOps tools such as GitLab CI/CD, Docker, Podman, Kubernetes, or virtualization technologies
  • Background in data analysis for mission systems, sensor data, or tactical environments
  • Experience with Jira, Git, or Subversion

Physical Qualifications
May require working in an office, industrial, shipboard, or laboratory environment. Must be capable of climbing ladders and tolerating confined spaces and a range of temperature conditions during shipboard or testing activities.
The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.
Meet HII's Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.
To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072
HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.
Why HII
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.
Together we are working to ensure a future where everyone can be free and thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.


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