Director, AI/ML Engineering
- Pay
- $225,000 – $275,000 per year
- Location
- Detroit, MI · On-site
- Job type
- Full-time
- Level
- Director
- Experience
- 10+ years
- Listed
- 31 days ago
Skills & highlights for this role
- machine learning engineering
- experimentation and A/B testing
- MLOps
- computer vision
Also useful
- AWS
- generative AI
Stated benefits & perks
- Medical
- Dental
- Equity
What you'll do
- Own the AI/ML engineering strategy and roadmap, connecting technical investments to customer needs and business priorities.
- Build and develop a high-performing team of ML engineers and applied scientists, growing technical leaders and managers as the organization scales.
- Lead delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection.
- Set technical direction, guide architecture and model decisions, and choose the right approach-from classical ML to generative AI.
- Drive rigorous experimentation and A/B testing to measure impact and focus resources on what works.
- Scale ML platforms and MLOps practices that help teams ship quickly, reliably, and cost-effectively.
- Own hiring, performance, resource planning, and investment tradeoffs; align senior stakeholders on priorities and results.
About you
- 10+ years of relevant, hands-on experience in ML engineering or applied science, with a track record of building and operating production ML systems.
- 7+ years of practical ML or data science experience, including experience in computer vision, multi-modal learning, search, or recommendation systems.
- 5+ years of engineering leadership experience, including hiring, developing talent, and leading multiple complex workstreams.
- Experience owning an AI/ML roadmap and delivering measurable customer or business outcomes through cross-functional partnerships.
- Strong technical judgment across model design, architecture, experimentation, and cloud infrastructure, with the ability to balance performance, speed, and cost.
- Clear, compelling communication and the ability to influence senior leaders, make tough prioritization decisions, and turn ambiguity into action.
Nice to have skills
- Experience managing managers or leading multiple ML engineering or applied science teams.
- Marketplace, e-commerce, or Supply Chain experience, particularly in search, recommendations, computer vision, or fraud and trust and safety.
- Advanced degree in Computer Science, Machine Learning, or a related field; experience with AWS and shared ML platforms.
Pay and benefits
Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $225,000 to $275,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies may vary.
Why you'll love this role
Join a team of ML Engineers and Applied Scientists shaping how millions of buyers and sellers experience StockX. From finding the right product to detecting counterfeits, you'll tackle new challenges across our Live, Listings, and Core businesses-and turn advances in AI/ML into real marketplace impact.
Reporting to the VP of Engineering, you'll set the AI/ML engineering strategy, build and develop the team, and make the decisions that move our highest-impact opportunities forward. You'll partner with Product, Data Science, and business leaders to decide where we invest, what we build, and how we measure success.
About StockX
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics.
This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value.
The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world.
This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
Equal opportunity and legal notices
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
From StockX's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Director, AI/ML Engineering role at StockX?
The Director, AI/ML Engineering posting at StockX states compensation of $225,000 – $275,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on StockX's official career site.
Where is the Director, AI/ML Engineering job at StockX located?
This Director, AI/ML Engineering position at StockX is located in Detroit, MI (On-site). Always check StockX's application page for specific state eligibility or relocation policies.
What qualifications are required for Director, AI/ML Engineering at StockX?
For the Director, AI/ML Engineering role, StockX highlights 10+ years of relevant experience; experience with machine learning engineering, experimentation and A/B testing, MLOps, computer vision. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Director, AI/ML Engineering position at StockX?
This listing links directly to StockX's Greenhouse application page. You can apply directly on StockX's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.