Interested in this AI/ML Engineer role at Avocado Green Brands?
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About This Role
Avocado Green Brands is a mission\-driven lifestyle and eco\-luxury brand, fueled by green living, sustainability, radical honesty, authenticity, storytelling, social responsibility, and remarkable customer experiences. We make mattresses, bedding products, apparel and beauty products in California using the finest natural and organic materials.
The mission of Avocado is to be theworld’s most sustainable brand \- the pinnacle of certified organic mattresses, luxury bedding, and quality wood furniture.
As a mission driven company, Avocado asks all employees to uphold its high standards of environmental and social responsibility and support initiatives and strategies that help Avocado continue to raise the bar for what it means to be a sustainable company.
AGB fun facts:
- We’re a certified B Corp and Climate Neutral certified.
- We donate 1% of revenues to vetted nonprofits through our commitment to 1% For the Planet.
- Our products are organic certified by GOTS.
- Our factories are powered by renewable energy and are approaching zero waste.
- We care for nearly 200,000 sheep and grow and produce our own natural latex from our own farms.
AGB Job Description
Title: Account Trainer FLSA: Exempt
Posting Title: Account Trainer Grade \#: E28
Reports to: Senior Key Account Manager FT/PT: FT
Department: Strategic Partners Location: Charlotte, NC (Remote)
*Last Update: April 3, 2026*
Avocado Green Brands is a mission\-driven lifestyle and eco\-luxury brand, fueled by green living, sustainability, radical honesty, authenticity, storytelling, social responsibility, and remarkable customer experiences. We make mattresses, bedding products, apparel and beauty products in California using the finest natural and organic materials.
The mission of Avocado is to be the world’s most sustainable brand \- the pinnacle of certified organic mattresses, luxury bedding, and quality wood furniture.
As a mission driven company, Avocado asks all employees to uphold its high standards of environmental and social responsibility and support initiatives and strategies that help Avocado continue to raise the bar for what it means to be a sustainable company.
AGB fun facts:
- We’re a certified B Corp and Climate Neutral certified.
- We donate 1% of revenues to vetted nonprofits through our commitment to 1% For the Planet.
- Our products are organic certified by GOTS.
- Our factories are powered by renewable energy and are approaching zero waste.
- We care for nearly 200,000 sheep and grow and produce our own natural latex from our own farms.
THE ROLE
Avocado is currently looking for an Account Trainer to be part of the Strategic Partners Team. You will be reporting to the Senior Key Account Manager.
This role will use phone, email, texts, a CRM and other applications for establishing, building, maintaining, and growing long\-term partnerships between Avocado and Strategic Retail Partners. The AM will utilize the CRM software to track and report all activities and communications. Travel is required and key to the success of the position. Travel includes visiting Strategic Partners, trade shows, and Avocado team meetings. The AM will share our purpose and passion for making a real difference in the health, wellness and lives of others.
- *Note on Location**: Here at Avocado Green Brands, we treasure teamwork and working together in person. Depending on the role, you will be working on\-site at one of our Fullerton locations / Retail location/ fully remote/hybrid.*
- *Note on Pay Transparency:* *The pay range for this role is between $60,000\.00 and $75,000\.00 Yearly.*
WHAT YOU’LL BE WORKING ON
- Servicing assigned Strategic Partners by assisting them with challenges, pricing, merchandising, point of sales, promotions and other interactions with Avocado.
- Building and maintaining a prospect funnel for growth of new partners.
- Meeting revenue and new account acquisition goals.
- Comprehensive use of Hubspot CRM (Customer Relationship Management) software. This includes entering call notes, contact information, communications and planning upcoming events.
- Providing in person and virtual training as needed to retailers by educating them in using Avocademy, ordering portal, location of assets, price lists, and marketing tools.
- Analysis of sales data and providing merchandising recommendations on new and existing products and accessories based on this analysis.
- Processing Point of Purchase (POP) requests and guiding assigned accounts in what POP should be displayed.
- Communicate challenges and opportunities to the Customer Experience Team and Management.
- Manages price lists including adding new products, adjustments, and updates.
WHAT YOU BRING
- Minimum of 3 years of experience in a fast\-paced Sales environment.
- Knowledge of Mattresses, adjustable bases, and bedding is a PLUS
- Excellent communication skills.
- Excellent time management skills.
- Positive, High energy, Self\-Motivated.
- Technological skills including Word, Excel and PowerPoint, and virtual meetings. Ability to use Excel is emphasized.
- Self\-driven and disciplined.
- Ability to effectively communicate internally and externally.
- Regular and predictable attendance.
PHYSICAL REQUIREMENTS
- Stationary position: Must be able to remain stationary 50% of the time.
- Operate: Constantly operates a computer and other office machines such as printers and tablets.
- Communicate: This role frequently communicates with other team members to update on the status of a task.
- Travel: this role has up to 75% of travel via air or land.
WHAT WE OFFER YOU
- Medical (HMO, PPO, HSA), Dental, Vision
- 100% Employer Paid Life Insurance
- 401(k) with employer match
- PTO
- Volunteer days
- Employee product discount
- Annual Bonus Plan
- Training and Tools to be successful along with a strong partnership from your peers and leaders
- Access to wellness apps
- Referral Bonus
- Opportunity to grow
WHY WORK AT AVOCADO GREEN BRANDS?
- Be part of the change \| work at an emerging company that is on the mission to increase sustainable and clean products.
- Culture \| be part of a fun, collaborative and passionate team.
*ONLY FOR JOB POSTING*
Thank you very much for your interest in working for Avocado Green Brands. We appreciate your time and review each and every resume that is submitted. You will receive an email within 24 hours that confirms your application has been accepted by our applicant tracking system. If you are selected to participate in the interview process, you will receive an email within two weeks from our Talent Acquisition department.
*Avocado Green Brands is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.*
Thank you very much for your interest in working for Avocado Green Brands. We appreciate your time and review each and every resume that is submitted. You will receive an email within 24 hours that confirms your application has been accepted by our applicant tracking system. If you are selected to participate in the interview process, you will receive an email within two weeks from our Talent Acquisition department.
*Avocado Green Brands is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.*
Salary Context
This $60K-$75K 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 10,872 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Avocado Green Brands, 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 $154,000 based on 8,743 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $147,000. This role's midpoint ($67K) sits 56% below the category median. Disclosed range: $60K to $75K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Avocado Green Brands AI Hiring
Avocado Green Brands has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Cary, NC, US. Compensation range: $75K - $75K.
Location Context
Across all AI roles, 11% (1,212 positions) offer remote work, while 9,626 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 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 10,872 open positions tracked in our dataset. By seniority: 871 entry-level, 6,773 mid-level, 2,013 senior, and 1,215 leadership roles (Director, VP, C-Level). Remote roles make up 11% of the market (1,212 positions). The remaining 9,626 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 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 10,872 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (9,872), AI Software Engineer (262), Data Scientist (256). 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 (871) are outnumbered by mid-level (6,773) and senior (2,013) 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 1,215 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 11% of all AI roles (1,212 positions), with 9,626 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 $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. 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 $145,600. 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: Python (1,782 postings), Aws (1,065 postings), Azure (796 postings), Rag (710 postings), Gcp (617 postings), Pytorch (602 postings), Prompt Engineering (516 postings), Tensorflow (511 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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