Machine Learning Platform Engineer

Benefits

Parental leave

26 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

12 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Platform Engineer Mexico - Mexico City About the Role We are seeking a highly skilled and motivated Lead AI Platform Engineer to play a pivotal role in the development of our ML/AI platform. This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches. You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization. This isn't a traditional infrastructure role. You should be open to wearing multiple hats ; infrastructure, software engineering, UI/UX development, and AI-native tooling. We're looking for engineers who don't just build platforms for AI , they use AI to build the platform. You ship faster because you've made Claude Code, autonomous agents, and AI-powered developer tools part of your daily workflow, not an experiment you're still evaluating. We want innovative, out-of-the-box thinkers who aren't afraid to experiment, build complex systems, and tackle challenges across the full stack with AI as the force multiplier at every layer. What You'll Do AI-Native Engineering & Developer Velocity Use Claude Code (CLI) as a primary engineering tool writing, refactoring, debugging, and reviewing infrastructure and platform code with AI pair programming as the default, not the exception. Build and publish reusable AI tools, skills, and integrations in internal tool marketplaces so that platform capabilities are discoverable and reusable across engineering teams. Design and deploy autonomous agents that accelerate developer workflows, self-healing CI pipelines,

Read the full description at careers.salesforce.com. FewerJobs shows a preview and links to the original posting.