Foundation Models Data Scientist — Time Series & Multimodal

ECOM; Houston (TX); On-site; USD 110,000 - 180,000; Full time

Job summary

A technology company in Houston is seeking an experienced specialist to build and deploy large-scale, self-supervised models for analyzing various types of data including sensor data and time series. Candidates should have a strong background in Python and deep learning frameworks like PyTorch, plus experience in data engineering and extensive knowledge of multivariate time series. An MS or Ph.D. in a relevant field is required along with 3+ years of experience. The role emphasizes cross-disciplinary collaboration for successful project execution.

Qualifications

• 3+ years of experience in data science and AI or related fields.
• Expert in time series and sequential data processing.
• Experience with multi-GPU, multi-node clusters for large-scale training.

Responsibilities

• Build, train and deploy large-scale foundation models for various applications.
• Analyze sensor data and integrate heterogeneous data types into deep learning architectures.
• Collaborate with cross-disciplinary teams for project success.

Skills

Expert Python

Deep Learning Frameworks (PyTorch, TensorFlow)

C++/CUDA

Data Engineering

Multivariate Time Series Analysis

Education

MS/Ph.D. in Computer Science, Data Science, or AI

Job description

A technology company in Houston is seeking an experienced specialist to build and deploy large-scale, self-supervised models for analyzing various types of data including sensor data and time series. Candidates should have a strong background in Python and deep learning frameworks like PyTorch, plus experience in data engineering and extensive knowledge of multivariate time series. An MS or Ph.D. in a relevant field is required along with 3+ years of experience. The role emphasizes cross-disciplinary collaboration for successful project execution.