Interested in this AI/ML Engineer role at Wounded Warrior Project?
Apply Now →Skills & Technologies
About This Role
Great benefits. Competitive pay. We know these are some of the things people look for in a job.
If you’re the kind of person who believes that honoring and empowering our nation’s veterans is more than just a cause — that it’s a calling — then we’re ready to meet you.
When you join Wounded Warrior Project® (WWP), you’re committing to making a difference. We make a commitment to you, too – helping you to find that spark, ignite your passion to serve, and embark on a career with meaning and purpose.
At WWP™, we recognize our mission cannot be accomplished without our talented teammates, which is why we’re proud to offer benefits such as:* A flexible hybrid work schedule (three days in the office, two days’ work from home)
- Full medical, dental, and vision coverage for both teammates AND family members
- Competitive pay and performance incentives
- A fun, mission\-focused, and collaborative team environment
*A mission that matters is just the beginning, so if you’re ready to get started, we’re ready for you.*
The Wounded Warrior Project (WWP) Marketing Campaign Specialist is responsible for coordinating and executing integrated, cross\-functional marketing campaigns that support WWP’s mission and brand strategy. This role collaborates closely with internal teams and external vendors to develop and implement media plans, manage project timelines, ensure brand consistency, and track campaign performance across multiple channels. DUTIES \& RESPONSIBILITIES* Coordinate and execute complex, cross\-functional marketing plans for WWP by collaborating with the Marketing Manager, Marketing teammates, MarCom teammates, and external vendors.
- Assist in developing and implementing effective media plans, including selecting appropriate channels, optimizing budgets, and tracking campaign performance.
- Provide clear and concise content direction by collaborating with designers and subject matter experts.
- Coordinate with selected vendors to ensure campaigns are executed accurately and on time. Develop and maintain project timelines, track progress and deliverables, and ensure timely delivery using project management software.
- Maintain brand consistency across all materials and channels, serving as a brand ambassador by upholding the organization’s voice, tone, and visual identity in both internal and external communications.
- Provide general administrative and project support to the Marketing Manager and others on the leadership team.
- Assist in monitoring active campaigns to identify opportunities for improvement. Track and analyze campaign performance data to measure key metrics (e.g., reach, engagement, conversions) and identify areas for enhancement.
- Prepare regular reports on campaign performance and provide insights to inform future marketing strategies.
- Stay current on industry trends and ensure creative best practices are followed across all marketing platforms.
- Effectively communicate the WWP mission, vision, and values, as well as the importance of WWP programs, at public forums and events.
- Attend and actively participate in required training and/or meetings, including but not limited to New Teammate Orientation, WWP Cares, ASIST Suicide Prevention training, Leadership training, culture/team based training, or departmental huddles.
- Other related duties as assigned.
KNOWLEDGE, SKILLS, \& ABILITIES* Demonstrated experience in planning and executing multi\-channel marketing campaigns across a variety of platforms, including but not limited to streaming video, social media, programmatic advertising, display, streaming audio, email, search engine marketing (SEM), out\-of\-home (OOH), linear TV, print, and radio.
- Proven ability to effectively manage relationships with external partners, including creative agencies and media buying firms, to ensure alignment with campaign objectives and brand standards.
- Excellent written and verbal communication skills.
- Strong interpersonal skills with the ability to develop, maintain, and build effective professional relationships.
- Working knowledge of database marketing, campaign management systems, marketing automation platforms, and related tools.
- Familiarity with customer relationship management (CRM) software and Google Analytics tools.
- Strong understanding of core marketing principles, including branding, audience segmentation, targeting, and positioning.
- Exceptional organizational and time management skills, with a demonstrated ability to be flexible, adapt to changing priorities, and meet deadlines.
- Strong collaboration and relationship\-building skills, with demonstrated success working in cross\-functional, team\-oriented environments.
- Demonstrated analytical and problem\-solving skills, with the ability to exercise sound judgment in decision\-making.
- Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
- Experience using Monday.com or similar project management software.
- Unequivocal commitment to the highest standards of personal and business ethics and conduct.
- Mission\-driven, guided by core values, and a pleasure to work with.
EXPERIENCERequirements* Four years of experience in marketing, communications, or a related field, with a focus on planning and executing multi\-channel marketing campaigns.
- Two years of experience in paid advertising, with an emphasis on digital marketing and social media platforms.
- Two years of experience supporting media planning efforts, including channel selection, budget optimization, and tracking campaign performance.
Preferences* Two years of project management experience, ideally in a marketing or communications environment.
- Two years of experience using Salesforce Marketing Cloud or a similar marketing campaign automation platform.
- One year of experience working with a non\-profit organization.
EDUCATIONRequirements* Bachelor’s degree in marketing, communications, or related field. Equivalent combination of applicable education, training, certification, and experience may be considered in lieu of degree.
Preferences* Bachelor’s degree in public relations, marketing, communications, or journalism.
CERTIFICATIONS \& LICENSURERequirements* None.
Preferences* None.
WORK ENVIRONMENT/PHYSICAL DEMANDS* General office environment; temperature controlled.
- Up to 5% travel.
We recognize the success of our mission depends on the efforts of our passionate, hard\-working teammates. To help teammates remain focused on the warriors and families we serve, WWP offers a comprehensive benefits package that includes; Medical/Prescription drug, Dental, Vision, Life/AD\&D, Short\-term Disability, Long\-term Disability, and an Employee Assistance Program. WWP also offers a 401(k)\-retirement plan, a competitive PTO package, Sick Leave, Family Care Leave, Paid Holidays, Birthday Holiday, Education Assistance, Teammate Wellness Program and Bereavement Leave.
For Cincinnati, OH Applicants: The estimated hiring range for this position is between $57,344 – 71,680 annual base salary, subject to a candidate’s combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive.
For Minneapolis, MN Applicants: The estimated hiring range for this position is between $63,078 \- $78,848 annual base salary, subject to a candidate’s combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive.
For Chicago, IL Applicants: The estimated hiring range for this position is between $65,945 \- $82,432 annual base salary, subject to a candidate’s combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive.
For Washington, D.C. Applicants: The estimated hiring range for this position is between $68,812 \- $86,016 annual base salary, subject to a candidate’s combination of experience, qualifications, and credentials. This position may also be eligible for an annual performance incentive.* ca\-dj
\#LI\-HYBRID
Wounded Warrior Project® is an equal opportunity employer committed to providing equal employment opportunity to all persons without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, marital status, citizenship, age, veteran or military status, disability, genetic information, or any other characteristic protected by law.*Please note:*
*Wounded Warrior Project is not seeking assistance or accepting unsolicited resumes from search firms without a written search agreement in place. All resumes submitted by search firms to any employee at Wounded Warrior Project via email, the Internet or directly to hiring managers at Wounded Warrior Project in any form without a valid written search agreement in place will be deemed the sole property of Wounded Warrior Project, and no fee will be paid in the event the candidate is hired by Wounded Warrior Project as a result of the referral or through other means."*
Salary Context
This $57K-$86K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Wounded Warrior Project, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($71K) sits 57% below the category median. Disclosed range: $57K to $86K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Wounded Warrior Project AI Hiring
Wounded Warrior Project has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Jacksonville, FL, US. Compensation range: $86K - $86K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.