ML Engineer: Build Reliable AI Pipelines in Houston

Energy Innovation Corp; Houston (TX); On-site; USD 84,000 - 116,000; Full time

Benefits offered by this job

Growth plan

Mentor program

Life-long benefits

Job summary

Entertainment Plus in Houston, TX is seeking a Machine Learning Engineer to own and optimize the technology stack from day one. You will resurrect flaky Generative AI tests and critique the current Computer Vision pattern, proposing cleaner solutions.

The role emphasizes automating pipelines, tracking KPIs, and guiding critical on-call responses. You will bring a portfolio of work demonstrating expertise, at least 5 years in tech, and strong judgment under fast-moving conditions, with a focus on

Qualifications

• Portfolio/work samples demonstrating technology expertise.
• Minimum 5 years building expertise in technology roles.
• Sound judgment about when to act independently or seek guidance.

Responsibilities

• Resurrect flaky Generative AI tests until the Houston, TX suite is trustworthy.
• Question the imperfect Computer Vision pattern and propose a cleaner approach.
• Automate build, test, and deployment pipelines for faster release cycles.
• Track and report on key performance metrics for technology services.
• Own the Attention Management subsystem relied upon by the team.
• Respond to on-call rotations and participate in incident postmortems.
• Trace a slow PyTorch-related bug to the offending line for faster resolution.
• Own stakeholder management billing edge cases that others avoid.

Skills

Portfolio samples

5+ years in tech

Judgment under uncertainty

Calm under pressure

Job description

Entertainment Plus in Houston, TX is seeking a Machine Learning Engineer to own and optimize the technology stack from day one. You will resurrect flaky Generative AI tests and critique the current Computer Vision pattern, proposing cleaner solutions.

The role emphasizes automating pipelines, tracking KPIs, and guiding critical on-call responses. You will bring a portfolio of work demonstrating expertise, at least 5 years in tech, and strong judgment under fast-moving conditions, with a focus on