Interested in this AI/ML Engineer role at ICF?
Apply Now →Skills & Technologies
About This Role
Description
Email Marketing Specialist
Location: US Remote (Must be based in ET, CT, MT zone)
Ready to make a difference?
If you’re passionate about marketing and digital technology and have marketing and/or advertising experience, we want you as part of our team! Our award\-winning energy marketing team is growing and searching for an Email Marketing Specialist who is excited to join a great team and build a long\-term career. We push the marketing and digital world forward, using technology and creativity to connect people with products and services to help better their lives and the environment. We’re looking for talented people ready to fulfill their potential.
The Energy Marketing Account Services team is seeking an Email Marketing Specialist to develop and implement marketing email campaigns for our clients’ energy efficiency programs. You will play a critical role in developing and scheduling email campaigns using technologies like Oracle Eloqua, Salesforce, and Dynamics 365 Customer Insights \- Journeys. You will support the development of marketing strategies that will drive audience engagement, demand generation, and improve program conversions.
You will support the Marketing Account Services team, which conducts all aspects of marketing to include advertising, strategic planning, research, social media, events, outreach, and partnerships. To implement marketing campaigns, the team works with a 150\+ person creative and media services group. We help our clients and communities use less energy, save money, and help the environment through the development, implementation, and refinement of marketing and outreach initiatives. If you are as passionate about marketing technology and innovation as we are and have the skills and attitude to be successful, we want you to join our nationally recognized team.
Why you will love working here:
- Quality of life: Flexible workplace arrangements, work\-life balance
- Investment of the community: Donation matching, volunteer opportunities
- Investment in you: Tuition reimbursement, access to professional development resources, 401k matching, Employee Stock Purchase Plan
- And many, many more (Ask your recruiter for more details!)
What you will be doing:
- Work with the Marketing Automation Manager to implement email marketing campaigns for utilities’ residential and commercial energy efficiency programs.
- Securely transfer, review, and upload audience lists for email campaigns.
- Manage marketing daily tasks, including email calendar management, setting up multi\-step campaigns, testing, scheduling, deploying, reviewing, and reporting email performance.
- Work with account marketing staff, creative, and outreach teams to ensure email campaigns, messaging, and deliverables effectively align with customer journey and overarching marketing strategy.
- Support the growth and enhancement of account\-based marketing (ABM) programs aimed at key customers.
- Demonstrate extremely high attention to detail by following SOPs and upholding high\-level email governance protocols.
- Maintain email compliance by ensuring all campaigns strictly adhere to CAN\-SPAM Act regulations, GDPR/CCPA standards, and internal privacy policies.
- Monitor and report on marketing automation performance for continuous improvements and campaign optimizations.
- Stay regularly informed of industry changes, innovations, and best practices and ability to apply them to email practices.
What we need you to have (minimum qualifications):
- Bachelor’s degree in Marketing, Business, Communications, or a related field (or equivalent experience one year of related experience may substitute for one year of education)
- 2\+ years of hands\-on experience supporting or executing email marketing campaigns, preferably within consumer, program, or account\-based marketing environments, with experience collaborating across teams or related work experience.
- Experience using email marketing platforms such as Oracle Eloqua, Salesforce Marketing Cloud or Pardot, HubSpot, Marketo, or similar tools.
- Must be able to pass a background check and drug screening.
What we would like you to have:
- Experience with a customer relationship management (CRM) system used to track the customer sales cycle and performance.
- Experience working and collaborating across teams and lines of business.
- Experience interpreting data, creating insights, and articulating applicable campaign optimization improvements.
- Demonstrate exceptional attention to detail in QA testing and proofing copy, links, segments, campaign logic, and email settings.
- Experience advertising agency and/or on a consumer or program marketing account.
- Proficient with HTML, CSS coding for email development.
- Proven ability to develop and implement email campaigns.
- Ability to multitask and maintain high attention to detail.
- Working knowledge of CAN\-SPAM, email best practices, including design principles, metrics, data hygiene, and compliance.
- Knowledge of email delivery and verification practices, including inbox placement, DMARC, DKIM, and SPF sender reputation management.
- Be able to use and understand web\-based email testing tools (Email on Acid, Litmus, or similar).
- Strong ability to handle multiple tasks simultaneously and meet deadlines for time\-sensitive assignments.
- Experience driving performance and articulating those results to a variety of stakeholders.
- Strong PowerPoint and Excel skills.
- Possession of relevant email marketing certifications.
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting\-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in\-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range \- There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full\-time employment is:
$61,232\.00 \- $104,094\.00
Nationwide Remote Office (US99\)
Salary Context
This $61K-$104K 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 ICF, 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 ($82K) sits 50% below the category median. Disclosed range: $61K to $104K.
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.
ICF AI Hiring
ICF has 2 open AI roles right now. They're hiring across AI/ML Engineer. Based in Reston, VA, US. Compensation range: $104K - $167K.
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.