Interested in this AI/ML Engineer role at BetMGM LLC?
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About This Role
Discover What’s Possible at BetMGM
Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.
As a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include:
- Medical, Dental, Vision, Life, and Disability Insurance
- 401(k) with company match
- Pre\-tax spending accounts including health care FSA and commuter savings
- Flexible paid time off
- Professional development reimbursement and ongoing skills training opportunities
- Employee resource groups
- Swag, ticket giveaways, and more!
At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.
About the Role
The Senior Vice President, Business Transformation \& AI Strategy will lead BetMGM’s enterprise transformation agenda, using AI as a strategic lever to redesign how the business operates, makes decisions, and scales. This executive will define the company’s AI strategy and business transformation roadmap, ensuring investments are tied to measurable outcomes across growth, productivity, customer experience, risk management, and profitability, while always ensuring regulatory compliance.
The VP will define the AI\-enabled change program for the company and lead its implementation , identify the highest\-value business opportunities, align leaders around a common roadmap, and drive adoption of new ways of working. One to two senior leaders reporting into this role will support the more technical components of defining and implementing a best in class, Enterprise\-grade agentic AI framework, leveraging the established Snowflake, AWS and Microsoft platforms.
This leader will influence executive\-level strategy, shape investment choices, and ensure BetMGM translates AI ambition into enterprise\-wide business impact through disciplined transformation, governance, and value realization.
Responsibilities
- Set the enterprise vision, strategy, and multi\-year roadmap for business transformation enabled by AI, automation, and advanced decisioning.
- Prioritize the highest\-impact opportunities across functions and translate them into a sequenced portfolio of initiatives with clear business cases, ownership, and measurable outcomes.
- Establish the enterprise operating model for AI, including governance, decision rights, prioritization, adoption plans, and value tracking.
- Lead a small senior team, including 1–2 leaders responsible for the technical components of AI delivery such as data, architecture, model development, and platform implementation.
- Partner across Product \& Tech, Data, BI, Risk, Operations, Finance, HR, and Commercial teams to embed AI into core business processes and ways of working.
- Identify and scale high\-value use cases across customer growth, retention, risk, compliance, operational efficiency, and decision support.
- Lead change management and adoption efforts to ensure AI\-enabled tools, processes, and behaviors are implemented effectively and sustained over time.
- Partner with PMO, Finance, and business leaders to define success metrics and track ROI, risk reduction, efficiency gains, and customer impact.
- Represent the transformation and AI agenda with executive leadership and communicate complex topics in clear, commercially relevant terms.
- \[Partner with Entain/MGM where needed / valuable]
- \[Report out to external stakeholders
Essential Functions
- Must be able to stand or sit and operate computers and other technological devices for extended periods of time
Qualifications
Required
- 15\+ years of progressive leadership across business transformation, AI/ML, enterprise analytics, digital strategy, or related functions.
- Demonstrated success leading enterprise transformation programs and turning strategic priorities into measurable operational and commercial outcomes.
- Experience defining AI strategies and roadmaps that span multiple business units in a complex, regulated, or consumer\-facing environment.
- Ability to lead senior cross\-functional stakeholders and oversee technical leaders without needing to personally own day\-to\-day model or platform delivery.
- Strong grasp of modern data and AI capabilities, governance, model risk, and value realization frameworks.
- Executive presence with the ability to influence C\-suite and Board stakeholders.
Preferred
- Experience in sports betting, iGaming, fintech, insurance, or other high\-scale digital environments.
- Familiarity with enterprise operating model design, large\-scale change programs, and AI adoption in regulated businesses.
- Prior experience leading senior leaders across strategy, transformation, data, or AI functions.
Compensation
The annual salary range for this position is $269,925 to $371,000\. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance \-based bonus plan.
About the Role
The Senior Vice President, Business Transformation \& AI Strategy will lead BetMGM’s enterprise transformation agenda, using AI as a strategic lever to redesign how the business operates, makes decisions, and scales. This executive will define the company’s AI strategy and business transformation roadmap, ensuring investments are tied to measurable outcomes across growth, productivity, customer experience, risk management, and profitability, while always ensuring regulatory compliance.
The SVP will define the AI\-enabled change program for the company and lead its implementation, identify the highest\-value business opportunities, align leaders around a common roadmap, and drive adoption of new ways of working. One to two senior leaders reporting into this role will support the more technical components of defining and implementing a best in class, Enterprise\-grade agentic AI framework, leveraging the established Snowflake, AWS and Microsoft platforms.
This leader will influence executive\-level strategy, shape investment choices, and ensure BetMGM translates AI ambition into enterprise\-wide business impact through disciplined transformation, governance, and value realization.
Responsibilities
- Set the enterprise vision, strategy, and multi\-year roadmap for business transformation enabled by AI, automation, and advanced decisioning.
- Prioritize the highest\-impact opportunities across functions and translate them into a sequenced portfolio of initiatives with clear business cases, ownership, and measurable outcomes.
- Establish the enterprise operating model for AI, including governance, decision rights, prioritization, adoption plans, and value tracking.
- Lead a small senior team, including 1–2 leaders responsible for the technical components of AI delivery such as data, architecture, model development, and platform implementation.
- Partner across Product \& Tech, Data, BI, Risk, Operations, Finance, HR, and Commercial teams to embed AI into core business processes and ways of working.
- Identify and scale high\-value use cases across customer growth, retention, risk, compliance, operational efficiency, and decision support.
- Lead change management and adoption efforts to ensure AI\-enabled tools, processes, and behaviors are implemented effectively and sustained over time.
- Partner with PMO, Finance, and business leaders to define success metrics and track ROI, risk reduction, efficiency gains, and customer impact.
- Represent the transformation and AI agenda with executive leadership and communicate complex topics in clear, commercially relevant terms.
- Partner with Entain/MGM where needed/valuable and report out to external stakeholders.
Qualifications
- 15\+ years of progressive leadership across business transformation, AI/ML, enterprise analytics, digital strategy, or related functions.
- Demonstrated success leading enterprise transformation programs and turning strategic priorities into measurable operational and commercial outcomes.
- Experience defining AI strategies and roadmaps that span multiple business units in a complex, regulated, or consumer\-facing environment.
- Ability to lead senior cross\-functional stakeholders and oversee technical leaders without needing to personally own day\-to\-day model or platform delivery.
- Strong grasp of modern data and AI capabilities, governance, model risk, and value realization frameworks.
- Executive presence with the ability to influence C\-suite and Board stakeholders.
Preferred
- Experience in sports betting, iGaming, fintech, insurance, or other high\-scale digital environments.
- Familiarity with enterprise operating model design, large\-scale change programs, and AI adoption in regulated businesses.
- Prior experience leading senior leaders across strategy, transformation, data, or AI functions.
Compensation
The annual salary range for this position is $269,925 to $371,000\. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance \-based bonus plan.
Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration\-related employment authorization sponsorship including H\-1B, O\-1, E\-3, TN, OPT, etc.
Gaming Compliance \& Licensing Requirements
As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification.
In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives.
About BetMGM
BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations—MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms.
BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination\-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.
If you need assistance or accommodation with your application due to a disability, you may contact us at [email protected].
This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time.
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\#LI\-IK1
Salary Context
This $269K-$371K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $180K across 1841 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 3,708 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At BetMGM LLC, 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 $218,750 based on 3,817 positions with disclosed compensation. This role's midpoint ($320K) sits 46% above the category median. Disclosed range: $269K to $371K.
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.
BetMGM LLC AI Hiring
BetMGM LLC has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in NJ, US. Compensation range: $371K - $371K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 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 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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