Remote ML Engineer: Lead MLOps & Data Tooling

Filetwigbay; Plano (TX); Remote; USD 89,000 - 122,000; Full time

Benefits offered by this job

Premium healthcare

Generous home-office allowance

Job summary

Disney is offering a remote Machine Learning Engineer role with a $89,000 - $122,000 salary range. Based in Texas, you will tackle real-world ML and MLOps problems while shaping Pandas work and collaborating with a high-trust team.

You’ll ship fixes to Disney customers, translate vague tickets into crisp criteria, build Tableau features, and map data flows across clustering services. This is a hands-on, mentorship-friendly environment with strong emphasis on collaboration.

Qualifications

• 5+ years operating in a similar Machine Learning Engineer position.
• Professionalism, integrity, and discretion with sensitive information.
• A teammate's instinct to unblock others before yourself.
• Written communication clear enough to survive a forwarded email chain.
• The patience to mentor without taking over the keyboard.
• Sound instincts for reading a room you've never been in before.
• A collaborative mindset and genuine enthusiasm for teamwork.

Responsibilities

• Ship MLOps fixes to Disney customers in Plano, TX the same day they report them
• Turn vague technology tickets into crisp, testable Prompt Engineering acceptance criteria
• Build the inclusive Tableau feature that wins back the TX accounts Disney lost
• Stress-test Tableau systems until they bend, then harden where they cracked
• Map data flow across Disney's Clustering services and spot the leaks
• Build internal tooling that improves developer productivity and velocity
• Own the documentation-first Collaboration subsystem that the rest of Disney quietly depends on

Skills

Communication

Teamwork

Mentoring

Problem solving

Discretion

Job description

Disney is offering a remote Machine Learning Engineer role with a $89,000 - $122,000 salary range. Based in Texas, you will tackle real-world ML and MLOps problems while shaping Pandas work and collaborating with a high-trust team.

You’ll ship fixes to Disney customers, translate vague tickets into crisp criteria, build Tableau features, and map data flows across clustering services. This is a hands-on, mentorship-friendly environment with strong emphasis on collaboration.