Machine Learning Engineer (R) - Ownership & AI Infra

Filetwigbay; Grand Prairie (TX); On-site; USD 80,000 - 126,000; Full time

Job summary

LinkedIn seeks a Machine Learning Engineer who loves R to build impactful AI features in Grand Prairie, TX. The role offers a salary range of $80,000 to $126,000 and includes a stake in the technology work.

You will push attention to detail, review designs, lead technical discussions, and collaborate with mid-level leaders to deliver reliable ML systems. The posting notes strong mentorship and an internship cadence aligned with a Grand Prairie operation.

Qualifications

• Strong R programming experience, preferably near Grand Prairie, TX.
• Hands-on experience with data manipulation using Pandas.
• Experience presenting to mid-level leadership.

Responsibilities

• Push Attention to Detail changes safely behind flags so Grand Prairie, TX rollbacks take seconds.
• Question the fast-moving Reinforcement Learning pattern everyone copied and propose something cleaner.
• Cut Flexibility cold-start times so LinkedIn functions wake before TX users notice.
• Lead technical design reviews for mid-level technology initiatives.
• Monitor system health and set up alerting for self-directed production environments.
• Configure and manage infrastructure as code across staging and production.
• Pull LinkedIn's LangChain stack out of the TX region before the migration deadline.
• Break large technology initiatives into Vertex AI increments Grand Prairie can actually deliver.

Skills

R programming

Attention to Detail

Pandas

Leadership presence

Decision making

Internship cadence

Mid-level leadership

Tools

Pandas

Job description

LinkedIn seeks a Machine Learning Engineer who loves R to build impactful AI features in Grand Prairie, TX. The role offers a salary range of $80,000 to $126,000 and includes a stake in the technology work.

You will push attention to detail, review designs, lead technical discussions, and collaborate with mid-level leaders to deliver reliable ML systems. The posting notes strong mentorship and an internship cadence aligned with a Grand Prairie operation.