Interested in this AI/ML Engineer role at The Hershey Company?
Apply Now →About This Role
Why Hershey:
At The Hershey Company, our culture is rooted in purpose and inspired by Milton Hershey’s enduring vision that business should create opportunity for others. Through our commitment to corporate philanthropy, we create positive impact by supporting communities, helping children thrive, and operating as a business for good. This includes our deep and long standing partnership with Milton Hershey School, where we invest in education, workforce readiness, and hands on engagement to help students succeed beyond the classroom. Supported by strategic grantmaking, product donations, cross brand collaboration, and strong employee volunteerism, Hershey offers a place to work where making a difference—locally and globally—is part of how we do business every day.
About The Hershey Company
The Hershey Company (NYSE: HSY) is an industry-leading snacks company known for making more moments of goodness through its iconic brands. With a strong portfolio across chocolate, confectionery, and salty snacks, Hershey delights consumers every day. Our beloved brands include Hershey’s, Reese’s, KitKat®, Dots Pretzels, Lesser Evil, Jolly Rancher, Twizzlers, Ice Breakers, and more.
At Hershey, we are committed to making a meaningful difference in the communities where we live, work, and do business. This commitment originated with our founder, Milton Hershey, and continues to shape who we are today.
Guided by our employee value proposition, Lead Today. Create Tomorrow, we empower our people to drive impact now while shaping what comes next. Our One Hershey mindset brings teams together across functions, geographies, and businesses, enabling us to operate with speed, collaboration, and shared purpose.
The Hershey Company is proud to be recognized as a top employer in the United States, reflecting our commitment to our people, culture, and purpose.
Location
New York, NY hybrid in office
How will you fit into the big picture?
The Hershey Company is building something new in New York City. Pip & Plume is our new in-house Creator + AI Studio—built to help some of our most iconic brands create at the speed of culture. We’re bringing creators, strategists, designers, media intelligence and emerging technology together to make work designed for how people actually discover, watch, share and engage with brands today.
As Associate Director, Creator & Social, you’ll lead our internal creator team and set the creative standard for social-first work across The Hershey Company’s portfolio of 42 iconic brands.
You’ll recruit and develop exceptional creator talent, guide teams from idea through execution, and build an engine capable of producing a high volume of outstanding organic and paid social creative.
You won’t just understand social. You’ll be fascinated by it. You know what people are watching, sharing, searching for and talking about—and why. And importantly, you’re a maker yourself: you know how to turn an observation into an idea, an idea into content, and content into something people actually want to watch.
What will you do?
- Build and lead a world-class creator team in NYC capable of producing content across 42 distinct brands.
- Define and elevate social creative standards across TikTok, Instagram, YouTube, emerging platforms, and paid media.
- Stay hands-on with the work by ideating, creating content, coaching creators, and shaping ideas into high-performing executions.
- Develop agile ways of working that enable brands to respond quickly and authentically to cultural moments.
- Recruit, develop, and retain exceptional creative talent while building a strong network of emerging creators.
- Partner closely with Social Strategy to transform brand priorities, audience insights, and cultural intelligence into compelling content ideas.
- Create ideas that drive both organic engagement and paid media performance, collaborating closely with media teams.
- Use performance data and audience insights to continuously improve creative effectiveness and accelerate learning.
- Lead ongoing experimentation with new platforms, formats, creator partnerships, production approaches, and AI-enabled tools.
- Serve as a founding leader for Pip & Plume, helping define its vision, culture, operating model, and future growth.
Minimum Education & Requirements
- 7 years of experience in Marketing, Strategy, General Management, or related commercial leadership roles.
- Bachelor’s Degree required.
- MBA or equivalent marketplace experience preferred.
- Significant experience building and leading teams responsible for best-in-class social-first creative, ideally in a high-velocity agency, creator, platform or brand environment.
- Deep experience creating and leading both organic and paid social work—and using performance to improve the next piece of creative.
- A creator at heart. You may shoot, write, edit, design, direct, produce or have built an audience yourself; whatever your craft, you understand making because you’ve done it.
- An instinctive understanding of platform-native creativity. You know a TikTok isn’t a shorter TV spot—and what works brilliantly on one platform may be completely wrong for another.
- A strong eye for creator talent and meaningful experience finding, recruiting, coaching and developing creative people.
- A student of culture, platforms and communities. Staying current isn’t a task; it’s how you’re wired.
- Deep curiosity about creative effectiveness: not only whether something performed, but what made people stop, watch, engage, share or act.
- Comfort moving between culture and data, instinct and evidence, speed and craft.
- Energy for AI and emerging technology—not because technology replaces creativity, but because you’re fascinated by what it can unlock for creators.
Benefits & Perks
At Hershey, we offer competitive pay and a comprehensive total rewards package designed to support your wellbeing, financial security, and life outside of work.
- Health & Wellbeing: Medical, dental, and vision coverage, plus wellness programs that support your physical and mental health
- Financial Security: Competitive pay, annual incentive opportunities, and a 401(k) with company match
- Time Off & Flexibility: Paid time off, company holidays, and flexible ways of working where applicable
- Growth & Development: Career development programs, learning opportunities, and internal mobility
Benefits may vary based on role, location, and eligibility.
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The anticipated base salary range for this role is $157440 to $196800 per year. The actual base salary offered will depend on a variety of job‑related factors, including, but not limited to, experience, skill set, education, and training. In addition to a market-competitive base salary, our Total Rewards package includes performance‑based incentives and a comprehensive, competitive benefits package designed to support overall physical, mental, and financial well‑being (as applicable). Learn more about Hershey’s benefits and all the resources Hershey provides to support our employees’ physical, emotional, and financial well‑being by visiting the Hershey Digital Employee Experience at www.askHRbenefits.hersheys.com
The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.
The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans. You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability.
You can request an accommodation via phone or email.To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to [email protected]. Please be sure to include “Accommodation Needed” in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.
Salary Context
This $157K-$196K range is above the median for AI/ML Engineer roles in our dataset (median: $175K across 1356 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 8,943 AI roles we're tracking, AI/ML Engineer positions make up 75% of the market. At The Hershey Company, 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 $212,000 based on 11,866 positions with disclosed compensation. Director-level AI roles across all categories have a median of $272,250. This role's midpoint ($177K) sits 16% below the category median. Disclosed range: $157K to $196K.
Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.
The Hershey Company AI Hiring
The Hershey Company has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $196K - $196K.
Location Context
AI roles in New York pay a median of $221,000 across 2,878 tracked positions. That's 4% above the national 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 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.
The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). 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 (175) are outnumbered by mid-level (4,132) and senior (3,268) 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 1,368 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 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 $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. 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 $253,100 median, while Prompt Engineer roles sit at $141,440. 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 (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 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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