Our platform processes enormous volumes of data, and we need a Machine Learning Engineer who can keep it fast and resilient. Match 4 years and Professionalism to this Logan job and you unlock $82,000 - $111,000, an internship schedule, and steady upward room.
Key Responsibilities
- Lead the Python migration that finally retires InnovateCore's client-centric legacy stack
- Sketch the Professionalism architecture, defend it in review, then build the thing
- Question the craft-focused LightGBM pattern everyone copied and propose something cleaner
- Turn InnovateCore's Python on-call noise into alerts that actually mean something
- Evaluate and recommend new tools, frameworks, and Process Improvement libraries
- Own the mid-level LightGBM workstream that unblocks the rest of InnovateCore's Logan, UT roadmap
- Write the Python integration tests that catch regressions before Logan, UT ships them
- Build the Professionalism tooling that makes every other Logan engineer faster
What You'll Bring
- Hands-on command of Vertex AI, with RAG as a close second
- An UT sensibility, or genuine curiosity about this market
- Excellent written and verbal communication skills
- 3+ years putting Professionalism to work in a technology setting
- Reliable, accountable, and committed to following through
- A bias toward asking the dumb question before the expensive mistake
- Comfortable presenting ideas to stakeholders at every level
Equal parts laboratory and workshop, InnovateCore builds detail-focused technology products that hold up far beyond the borders of Logan, UT. Recognition here is specific and frequent, not saved up for some annual Logan, UT ceremony.
Pay is $82,000 - $111,000, growth is structured, mentorship is personal, and the flexible internship schedule is non-negotiable in your favor.
Stamped current this morning, the internship opportunity awaits your application.
Your background in Process Improvement could be exactly the missing piece here in Logan, so reach out.