Interested in this AI/ML Engineer role at the LEGO Group?
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About This Role
Are you excited to deliver inspirational retail experiences to LEGO® fans of all ages?
Join the LEGO® Brand Retail team as a Sales Associate (Brick Specialist) and provide inspirational guest experiences in an interactive and vibrant store environment. We are looking for energetic, enthusiastic individuals to join us on a part-time basis.
Exceed our guests’ expectations through fun and meaningful interactions
- Ensure a signature experience for every guest that visits our LEGO stores by greeting every guest in your location, performing all cash register functions and portraying a professional, gracious, friendly and engaging manner at all times (80%)
- Provide a clean, safe and visually stimulating environment by performing daily cleaning duties, maintaining store displays and learning and executing LEGO Brand Retail visual standards (10%)
- Safely and efficiently operate the store stockroom as you assist in the receiving of merchandise, maintain the stockroom to LBR standards, know and abide by all safety regulations and notify management of potential shortage situations (10%)
Deliver inspirational retail experiences built on LEGO Brand values
The LEGO® Group is a family-owned, international business and collaboration shapes everything we do. It’s all about a shared vision to launch inspiring products that will shape the future of play. You’ll be part of a uniquely creative organization that gives you the freedom to make a real impact on our performance — and have fun while you’re doing it. LEGO Brand Retail strives to foster relationships with our guests that transcend generations and are as timeless as the products we sell.
Do you have what it takes to inspire and develop the builders of tomorrow?
- Communicate effectively with team members and guests
- Process information/merchandise through the register system
- Work various hours, days, nights and weekends as business dictates
- Freely access all areas of the store including sales floor, stock areas, register areas, and loading dock area
- Physical specifications: Constant moving, talking, hearing, reaching, grabbing and standing for at least two consecutive hours. May occasionally involve stooping, kneeling, crouching, and climbing ladders. Vision abilities include close vision, depth perception, and ability to adjust focus. Involves lifting at least 30 lbs
- There is potential for this to become a regular role for excellent performers
We want you to join the LEGO Brand Retail team!
If you are confident that you have what it takes to succeed in this part-time role, use the APPLY NOW button above or below.
BRINGING IT TO LIFE
“ *The reason LEGO® exists is because of what they are doing for children around the globe. Everyone in the company, at all levels, feels privileged to be part of a company with such an inspiring vision”* . VP of Operations in Americas & Pacific
Share our commitment in providing an active hands-on experience that encourages imagination and creativity through in-store play. If you are confident that you have what it takes to succeed in this role -use the APPLY NOW button above or below.
The base salary for the position is $17.87 to $18.87. . Actual pay is determined based on a number of job-related factors including skills, education, training, credentials, experience, scope and complexity of role responsibilities, geographic location, and performance.
We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.
The LEGO Group is proud to be an equal opportunity and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We support our employees in being there for the moments that matter in life and celebrate families of all kinds, the loved ones that make us who we are. Being part of the LEGO Group also means taking part in our annual Play Day, playing a part in building a sustainable future and continuing our mission to “inspire and develop the builders of tomorrow.”
The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.
Thank you for sharing our global commitment to Children’s Rights.
Build your career brick by brick at the LEGO Group.
We conduct drug screening as a part of our drug free workplace policy and in support of our commitment to the health and safety of our employees.
Online Application Accessibility Statement; which is intended for those with disabilities - LEGO systems endeavors to make www.LEGO.com/jobs accessible to any and all users. If you would like to contact us regarding the accessibility of our web site or need assistance completing the application process, please contact the HR Service Desk at 1.860.394.3769. Please note, these communication channels should be used for those having difficulty accessing our on-line channels, not to inquire about job opportunities
What’s in it for you? Here are some of what to expect
Family Care Leave – We offer enhanced paid leave options for those important times.
Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.
Wellness – We want you to be your best self, so you’ll have access to the Headspace App and lots of wellbeing initiatives and programs run by local teams where you are based.
Colleague Discount – We know you'll love to build so from day 1 you will qualify for our generous colleague discount.
Bonus – We do our best work to succeed together. When goals are reached, you’ll be rewarded through our global bonus scheme.
Core Responsibilities
Tasks will be assigned by floor leader in duty.
- Ensure a signature experience for every guest that visits our LEGO stores by greeting every guest in your location, performing all cash register functions and portraying a professional, gracious, friendly and engaging manner at all times
- Provide a clean, safe and visually stimulating environment by performing daily cleaning duties, maintaining store displays and learning and executing LEGO Brand Retail visual standards
- Safely and efficiently operate the store stockroom as you assist in the receiving of merchandise, maintain the stockroom to LBR standards, know and abide by all safety regulations and notify management of potential shortage situations
Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.
What’s in it for you?
Here are some of what to expect:
Family Care Leave – We offer enhanced paid leave options for those important times.
Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.
Wellbeing – We want you to be your best self, so you’ll have access to the Headspace App and lots of wellbeing initiatives and programs run by local teams where you are based
Colleague Discount – We know you'll love to build so from day 1 you will qualify for our generous colleague discount.
Bonus – We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme
Your workplace – You'll find this at the top of this advert and when you join the team, we'll confirm this with you.
We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.
The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age, religion and Veteran status) to apply for roles in our team.
We support our employees in being there for the moments that matter in life and celebrate families of all kinds, the loved ones that make us who we are. Being part of the LEGO Group also means taking part in our annual Play Day, playing a part in building a sustainable future and continuing our mission to “inspire and develop the builders of tomorrow.”
The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.
Thank you for sharing our global commitment to Children’s Rights.
We conduct drug screening as a part of our drug free workplace policy and in support of our commitment to the health and safety of our employees.
Online Application Accessibility Statement; which is intended for people with disabilities - LEGO systems endeavors to make www.LEGO.com/jobs accessible to any and all users. If you would like to contact us regarding the accessibility of our web site or need assistance completing the application process, please contact the HR Service Desk at 1.860-763-7777, option #3. Please note, these communication channels should be used for those having difficulty accessing our on-line channels, not to inquire about job opportunities.
Just imagine building your dream career.
Then make it real.
Join the LEGO® team today.
Salary Context
This $35K-$37K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $170K across 1414 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 the LEGO Group, 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 $210,000 based on 1,345 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $125,000. This role's midpoint ($36K) sits 83% below the category median. Disclosed range: $35K to $37K.
Across all AI roles, the market median is $220,000. Top-quartile compensation starts at $260,000. The 90th percentile reaches $311,800. For comparison, the highest-paying categories include Research Scientist ($260,000) and AI Architect ($251,680). By seniority level: Entry: $125,000; Mid: $202,000; Senior: $240,000; Director: $255,600; VP: $225,000.
the LEGO Group AI Hiring
the LEGO Group has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in White Plains, NY, US. Compensation range: $37K - $37K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: New York (228 roles, $223,400 median); San Francisco (216 roles, $255,750 median); Los Angeles (172 roles, $204,300 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 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 $220,000. Top-quartile compensation starts at $260,000. The 90th percentile reaches $311,800. Highest-paying categories: Research Scientist ($260,000 median, 48 roles); AI Architect ($251,680 median, 9 roles); Research Engineer ($250,200 median, 8 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 $220,000. Top-quartile roles start at $260,000, and the 90th percentile reaches $311,800. 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. Research Scientist roles lead at $260,000 median, while AI/ML Engineer roles sit at $210,000. 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: 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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