ML Search Engineer

Job summary

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.

Benefits

Qualifications

• 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
• Cloud-native experience: Proven experience designing and deploying cloud-native applications (
• GCP strongly preferred; AWS or Azure considered).
• Hands-on experience building resilient high throughput 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

Responsibilities

• You'll own the full lifecycle: prototyping ideas, shipping production-grade services on GCP, and iterating based on real user data.
• Strong Python and React 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
• Integrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows—even if this is new territory, you'll learn fast.
• COMPANY INFORMATION: Mot*** Industries offers an excellent
• 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'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.

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