Senior Applied ML & Data Mining Engineer

PlusAI; Santa Clara (CA); On-site; USD 130,000 - 220,000; Full time

Job summary

PlusAI seeks a research-oriented data scientist/engineer to advance data mining, retrieval, and ranking for autonomous-driving datasets. You will identify valuable moments for training and evaluation and build tools for search, review, and curation used by autonomy and ML engineers.

Role spans applied ML, information retrieval, and large-scale data processing, contributing to vector search, multimodal representations, and scalable indexing pipelines.

Qualifications

• BS/MS/PhD in CS or ML or equivalent practical experience.
• Experience with ML/data-mining methods and frameworks (PyTorch, TensorFlow).
• Understanding of embeddings, similarity search, and dataset curation.
• Ability to own projects end-to-end with strong initiative.

Responsibilities

• Develop and evaluate mining, retrieval, and ranking methods using signals such as model confidence, disagreement, embeddings, anomalies, temporal behavior, and learned representations.
• Build and evolve semantic image/video/scenario search, including text-to-image/video retrieval and vector search.
• Build and operate distributed mining, inference, and indexing pipelines over fleet-scale imagery, video, time-series, and autonomy-system data.
• Design and ship mining products end to end: Python APIs and services, relational data models, asynchronous jobs, modern TypeScript/React search and review experiences, deployment, access control, testing, observability, and production reliability.
• Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts

Skills

PyTorch

TensorFlow

Data mining

ML research

Embeddings

Similarity search

Model evaluation

Education

CS/ML degree

Tools

Milvus

FAISS

pgvector

Job description

PlusAI seeks a research-oriented data scientist/engineer to advance data mining, retrieval, and ranking for autonomous-driving datasets. You will identify valuable moments for training and evaluation and build tools for search, review, and curation used by autonomy and ML engineers.

Role spans applied ML, information retrieval, and large-scale data processing, contributing to vector search, multimodal representations, and scalable indexing pipelines.