ML Engineer - Search & Multimodal AI at Scale

Wanderboat AI

Sunnyvale (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Wanderboat AI is hiring ML engineers to build the core intelligence behind search, recommendations, and multimodal retrieval. You will apply machine learning, deep learning, and generative AI to real product challenges at scale, shaping retrieval, ranking, and content understanding to improve user experience and business metrics.

You will work with embeddings, RAG, and multimodal models, turning research ideas into production systems in a fast-moving startup environment.

Qualifications

  • Experience applying ML to search, recommendation, ads, feed ranking, or relevance.
  • Strong fundamentals in ML, DL, NLP, or multimodal learning.
  • Hands-on retrieval, ranking, embeddings, relevance, optimization, or RAG.
  • Experience with multimodal models preferred.
  • Familiarity with fine-tuning methods like SFT/LoRA/PEFT/RLHF/DPO is a plus.

Responsibilities

  • Build and deploy ML models for search, recommendation, and discovery.
  • Improve multimodal retrieval across text, image, video, and data.
  • Develop and fine-tune LLMs and vision-language models for production use cases.
  • Address relevance problems including query understanding, recall, ranking, embeddings, and RAG.
  • Run experiments, analyze results, and drive KPI improvements.
  • Process large-scale data and build scalable ML systems.

Skills

Machine learning
Deep learning
Multimodal learning
Retrieval
Embeddings
RAG
LLM fine-tuning
Python
Go
C++

Tools

N/A

Job description

Wanderboat AI is hiring ML engineers to build the core intelligence behind search, recommendations, and multimodal retrieval. You will apply machine learning, deep learning, and generative AI to real product challenges at scale, shaping retrieval, ranking, and content understanding to improve user experience and business metrics.

You will work with embeddings, RAG, and multimodal models, turning research ideas into production systems in a fast-moving startup environment.

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