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About This Role
Who we are:
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Tinuiti is the largest independent full\-funnel marketing agency in the U.S. across the media that matters most, with $4 billion in digital media under management and more than 1,200 employees. Built for marketers who demand growth and accountability, Tinuiti unites media and measurement under one roof to eliminate waste—the biggest growth killer of all—and scale what works. Its proprietary technology, Bliss Point by Tinuiti, reveals the truth around growth and waste, and how to capitalize on it. With expert teams across Commerce, Search, Social, TV \& Audio, and more, Tinuiti delivers measurable results with brutal simplicity: Love Growth. Hate Waste.We support 100% remote work for this role!We’d love to hear from you if:
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Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you qualify, but don't necessarily meet every single point on the job description, please still get in touch.
As the Specialist, Commerce Media you will:Campaign Management:* Build, drive, and optimize successful Amazon, Target, Walmart and Kroger Search marketing campaigns within the commerce media ecosystem to meet and exceed goals for a full roster of eCommerce clients
- Maintain comprehensive knowledge of relevant commerce media platform(s) applicable for book of business
- Maintain annual certifications for relevant commerce media platforms applicable for book of business
Performance Tracking \& Optimization:* Independently assess and diagnose opportunities for improvement, and effectively implement changes that will ensure sustainable achievement of growth, retention, and profitability targets of your clients
- Identify new marketing opportunities and ways to repurpose existing strategy to optimize brands’ awareness and drive sales volume; even on other commerce media platforms
- Achieve Same Store Growth targets of clients you manage or support
Data Analysis \& Reporting:* Communicate holistic strategy behind your clients’ KPIs by confidently interpreting trends and making recommendations based on digital marketing analytics and the commerce media landscape
Collaboration:* Proactively design creative solutions with account team peers and leaders that are tailored to each client’s unique challenges and goals
- Demonstrate thought leadership within your respective vertical/channel and contribute insights internally and externally
Client Communication:* Foster rapport during weekly interaction with clients, both on the phone, over email, and in person (as needed)
- Drive forward client relationships striving for Client Satisfaction score of 9 or above and Client Retention of 95% of above
Professional Qualifications:* 2\-3 of experience in commerce media or digital advertising roles with a proven track record of executing successful campaigns with monthly budgets of $20k\+
- Familiarity with commerce media platforms such as Amazon, Walmart, Criteo, etc.
- Familiarity with tools such as Skai, Helium10, and Analytic Index a plus
- Demonstrated success analyzing data and using analytics tools to drive marketing decisions
- Advanced computer skills including Microsoft Excel and PowerPoint
- Ability to multitask, prioritize, and manage time effectively across clients, multiple partner relationships, and internal initiatives.
- Excellent communication and interpersonal skills, with the ability to work effectively with external and internal teams.
The hiring salary range for this role is ($60,000 \- $70,000\). We also offer an incentive pay program (RevShare) comprising a monthly variable revenue payment opportunity and a discretionary annual performance bonus.
Hiring salaries are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, parity with other team members, and alignment with market data. We will provide more information on our benefits, incentive pay, and equity upon request. Disclosure as required by the Colorado Equal Pay for \> Equal Work Act, C.R.S. § 8\-5\-101 et seq.
FLSA Classification: ExemptWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Benefits:
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Unlimited PTO: At Tinuiti, we believe you deserve time to rest, recharge, and enjoy life unplugged. When you prioritize time for yourself, you're able to bring your best self to work. That’s why we offer unlimited paid time off, a fully remote environment, and flexibility to take the time you need, when you need it. On top of that, we provide 20 paid holidays, including multiple long weekends, to ensure you have dedicated time to step away and disconnect. We're proud to offer above\-industry standard work\-life balance, consistently rated as one of the most loved benefits by Tinuitians year after year.Healthcare: Medical, Dental, Vision, Life \& Disability, Flex Spending AccountsRetirement: Match up to 4% of your contributions at 100%Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, EquityParental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.Learning and Development: On\-demand learning, mentorship program, leadership and management development programs and resources*Disclaimer: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. Tinuiti is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.*
Salary Context
This $60K-$70K 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 Tinuiti, 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 ($65K) sits 61% below the category median. Disclosed range: $60K to $70K.
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.
Tinuiti AI Hiring
Tinuiti has 4 open AI roles right now. They're hiring across AI/ML Engineer. Based in Remote, US. Compensation range: $70K - $168K.
Remote Work Context
Remote AI roles pay a median of $156,000 across 1,221 positions. About 7% of all AI roles offer remote work.
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
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