Interested in this AI/ML Engineer role at Meta Viable Solutions?
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Part\-time\-
Internship Position:
Digital Marketing AI Content Creator Intern (US RESIDENTS ONLY)
Company Description:
We are looking for a Digital Marketing AI Content Creator Intern to join our team! Individuals who love creating videos and content for social media, and learning new tools to do so. Should be equipped in AI generation for content creation. This is a REMOTE Position.
THIS IDEAL CANDIDATE FOR THIS POSITION IS A PROBLEM\-SOLVER, WILL LEARN NEW AI GENERATION TOOLS, AND SHOULD HAVE SKILLS TO DO BOTH CONTENT CREATION AND SCHEDULING CONTENT.
Company Description:
Meta Viable Solutions offers Fractional COO and consulting services. We are seeking new members of our team to help expand clientele through strategic online marketing methods that will help us gain authentic and responsive following. We are seeking a college or post college grad intern to help with brand development and online presence, to help us identify and attract new leads through target marketing and create social media brand content. We are a small business and looking for someone to support our team with digital marketing and content creation. We are looking to create brand awareness and expand our clientele. This is a part\-time internship where you can gain valuable experience. 6 month minimum requirement. College Credit is available.
What You Can Gain From This Internship
- Knowledge, mentorship and guidance from a successful business owner
- Professional experience with brand development
- First hand experience with online and digital marketing
- Experience to build your resume and personal portfolio
- Experience in business development
- HOURS SHOULD BE FLEXIBLE
- CAN WORK REMOTELY, BUT WILL BE REQUIRED FOR PHONE OR IN PERSON MEETINGS AS NEEDED (DEPENDING ON LOCATION)
If You Are Interested Please Send The Following
- Resume (as pdf or word document)
- Statement\- Why you are interested in the position
- All your social media handles
- Portfolio of work (if available, via attachments or url links)
- 1 Reference
- Start and End Dates Available
- Availability (how many days per week/time, etc)
THIS POSITION IS FOR U.S. RESIDENTS ONLY. ENGLISH PROFICIENCY A MUST.
Responsibilities
- Assist with business development and creation of online branding and content
- Create engaging content and target marketing for brand online marketing website and social media (instagram, twitter, facebook, linked) to help with business development and leads.
- Proficient in graphic design (canva), instagram, fb, linkedin, and social media,other programs like CapCut and video creators.
- Proficient in Google Flow, AI Generation, HEYGEN
- Create content to attract and identify potential business leads and clients
- Research and stay updated with social media changes and report changes to Company
- Assist with social media campaigns \& newsletters
- Utilize apps for optimization
- Review social media analytics to see performance
- Identify strategic media relationships \& new creative media strategies
- Build new alliances with potential media outlets to increase publicity
SERIOUS CANDIDATES WHO HAVE TIME TO INTERN ONLY. U.S. RESIDENTS ONLY APPLY.
REQUIREMENTS
- Interested in branding, digital marketing, business development, communications, market analytics
- Business\-oriented \& focused
- Interest or experience in digital marketing, communications, marketing, social media and business development preferred
- Reviews social media analytics and adjusts campaigns accordingly
- LOVES USING SOCIAL MEDIA \& CREATIVE
- LOVES USING APPS TO CREATE ENGAGING COOL CONTENT
- PR experience working on campaigns for brands or media relations
- RELIABLE\- ABILITY TO MULTI\-TASK, WORK AT FAST PACE, MEET DEADLINES AND STAY IN COMMUNICATION WITH CEO
- Proficient in Canva, video apps (CapCut, etc), Adobe Creative Suite and iMovie (or any video editing software), MAC proficient, but not required
- Proficient in researching and staying updated with social media changes
- Independent worker who can also work collaboratively with the team
- Leader able to take initiative on projects SELF\-STARTER
- Able to work with little supervision
- Creative with social media content creation (videos, apps, etc), interest in marketing
- Have excellent written and verbal communication skills
- Be resourceful and ready to take initiative
- Able to juggle priorities and deliver dazzling results and meet deadlines
- Experience in branding, executing successful digital and social media strategies, tactics and programs
- Able to establish relationships with various media outlets
- Responsive
- Experience executing successful digital and social media strategies, tactics and programs
- Able to establish relationships with various media outlets
Majors and Programs of Interest May Include:
Digital Arts \& Social Media
Digital Communication and Media/Multimedia
Radio, Television, and Digital Communication
Web Page, Digital/Multimedia and Information Resources Design
Business, Management, Marketing, and Related Support Services
Marketing/Marketing Management
Marketing
Public Relations/Image Management
Entrepreneurial and Small Business Operations
Public Relations/Image Management
Public Relations, Advertising, and Applied Communication
Job Type: Internship
Benefits:
- Flexible schedule
- Professional development assistance
Application Question(s):
- Are you 18 years or older?
- How many hours a week are you able to dedicate to this internship?
- What apps have you used to create content, including video content for social media?
- Are you a student looking for student credit through this internship? If yes, what is required?
- This is a remote internship with part time hours where you can receive great recommendations and experience. Are you still interested?
- This is a 6 month minimum internship. Are you able to dedicate this time (please answer honestly)?
- Do you know how to write effective social media content/captions with optimized hashtags?
- What social media management platforms are you proficient in?
What experience do you have scheduling and posting content?
Experience:
- Content Creation: 3 years (Preferred)
- Google Flow: 1 year (Preferred)
- CapCut: 1 year (Required)
- AI Generation: 1 year (Required)
- HeyGen AI Content Creation: 1 year (Required)
- Canva: 2 years (Required)
Work Location: Hybrid remote in New York, NY 10041
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 3,708 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Meta Viable Solutions, 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 in Demand for This Role
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 $218,750 based on 3,817 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $120,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Meta Viable Solutions AI Hiring
Meta Viable Solutions has 3 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Remote, US, New York, NY, US, San Francisco, CA, US.
Location Context
AI roles in New York pay a median of $220,000 across 1,045 tracked positions.
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 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 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 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). 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 (102) are outnumbered by mid-level (1,705) and senior (1,469) 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 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 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 $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. 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 Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. 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 (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 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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