ML Search Engineer

Reposted Yesterday
Birmingham, AL, USA
In-Office
5-8 Annually
Senior level
Automotive • Hardware • Logistics
The Role
The Software Engineer III designs and develops complex software solutions, provides application support, and improves operations through systems analysis and recommendations.
Summary Generated by Built In

Search Engineer (Software Engineer III)

You must be eligible to work in the US without Visa Sponsorship.

ABOUT THE ROLE

We're building intelligent product search that understands intent, learns from behavior, and gets smarter over time. As a Senior Python Engineer on the ML/AI Search team, you'll design and build the backend systems that power product discovery for millions of industrial buyers—from scalable retrieval pipelines to the APIs and interfaces that make AI accessible.

This isn't a research role. You'll own the full lifecycle: prototyping ideas, shipping production-grade services on GCP, and iterating based on real user data. Strong Python engineering is the foundation—if you also bring experience in search systems, vector databases, or Elasticsearch, you'll hit the ground running from day one.

WHAT YOU'LL DO

Build & Ship Search and AI-Powered Systems

  • Design, develop, and deploy production Python services end-to-end—from retrieval and ranking pipelines through client-facing APIs.
  • Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM-powered query understanding, and reranking services.
  • Develop event-driven, real-time architectures using GCP services—Cloud Run, Pub/Sub, GKE, Cloud Functions.
  • Write clean, well-tested, observable Python backends; own your services through deployment, monitoring, and on-call

Contribute to Search Infrastructure

  • Work alongside the Search Architect and ML Architect to implement hybrid retrieval systems combining keyword search, dense vector similarity, and reranking.
  • Build and maintain Elasticsearch indexing pipelines, query services, and relevance tuning tooling.
  • Integrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows—even if this is new territory, you'll learn fast.
  • Instrument search pipelines with meaningful metrics: CTR, zero-result rate, latency—feeding the team's A/B experimentation loop.

Own the Engineering Bar

  • Champion CI/CD, observability, testing, and infrastructure-as-code as non-negotiables, not afterthoughts.
  • Lead design sessions with Engineers and Architects; translate product requirements into clean, maintainable technical solutions.
  • Participate in code reviews and knowledge-sharing—actively raising the team's collective skill level.

WHAT YOU BRING

Must-Haves

  • Strong Python foundation: 4+ years of professional backend or full-stack engineering experience with a 
  • deep Python focus—async patterns, type annotations, testing, and production-grade service design.
  • Cloud-native experience: Proven experience designing and deploying cloud-native applications (
  • GCP strongly preferred; AWS or Azure considered).
  • Hands-on experience building resilient microservices and RESTful/gRPC APIs.
  • Solid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms.
  • Strong grounding in SOLID design principles and software craftsmanship.
  • Good communicator who thrives in cross-functional, agile teams alongside ML engineers, architects, and product owners.
  • Comfort using AI tools to accelerate development throughput.

Strongly Preferred — Search & ML

You don't need all of these on day one—but the more you bring, the faster you'll contribute:

  • Search systems: Experience with search platforms: 
  • Elasticsearch, OpenSearch, Solr, or Algolia—index management, query DSL, relevance tuning.
  • Vector search: Familiarity with vector search concepts and tooling: 
  • embeddings, approximate nearest neighbor (ANN), FAISS, Pinecone, Weaviate, or similar.
  • Exposure to ML/AI patterns: RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows.
  • Experience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK.
  • Infrastructure-as-code experience (Terraform, Pulumi) and mature CI/CD pipeline ownership.

PHYSICAL DEMANDS:

LICENSES & CERTIFICATIONS: None required.

SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility

BUDGET RESPONSIBILITY: No

COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.

Not the right fit?  Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Skills Required

  • Bachelor's degree in computer science, software engineering, or related field
  • 5 to 8 years of related experience

Genuine Parts Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genuine Parts Company and has not been reviewed or approved by Genuine Parts Company.

  • Retirement Support Retirement programs include a 401(k) with company match and an Employee Stock Purchase Plan, with profit sharing and pension plans also mentioned. These elements indicate strong long-term financial support alongside ownership opportunities.
  • Healthcare Strength Benefits encompass medical, dental, and vision coverage with HSA and FSA options plus income-protection coverages like life, AD&D, and disability. This breadth suggests a robust core health and protection offering.
  • Parental & Family Support Paid maternity and paternity leave are provided in addition to short‑term disability, and an Employee Assistance Program supports families with counseling and life tools. These programs reinforce family support alongside standard PTO.

Genuine Parts Company Insights

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The Company
Marietta, GA
4,400 Employees
Year Founded: 1928

What We Do

Genuine Parts Company (GPC), founded in 1928, is a global service organization engaged in the distribution of automotive and industrial replacement parts. We serve hundreds of thousands of customers from a network of more than 10,000 locations in 14 countries and have approximately 50,000 employees.

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