Protective
AI/ML Engineering Lead
Birmingham, AL · Nebraska - Virtual · Work From Home
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Lead / management
- Stated salary
- $124,500 – $180,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 15 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
The work we do has an impact on millions of lives, and you can be a part of it.
We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.
Protective Life is transforming how it builds and operates software — moving to a product operating model organized around empowered, outcome-oriented teams — and is investing in machine learning and generative AI to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines.
The AI/ML Engineering Lead is a hands-on technical leader who owns the path from experiment to governed production for machine learning and GenAI on our Databricks Lakehouse on Microsoft Azure. You will set the engineering standards for the ML lifecycle, mentor ML and data engineers, and personally deliver critical components — while working closely with product managers, data engineers, and Model Risk partners. As a regulated life insurer, we hold models to disciplined standards: this role is accountable not only for shipping models but for their reliability, monitoring, documentation, fairness, and explainability.
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job