Senior Machine Learning Engineer

Pyramid Technology Solutions, Inc.; Mountain View (CA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Pyramid Technology Solutions, Inc. seeks a Senior Machine Learning Engineer in Mountain View, CA. The role supports hybrid or remote work on seismic and well log data, applying ML to identify geological features from images and time-series signals. The candidate will lead model training and deployment with distributed pipelines.

The position emphasizes deep learning, GPU-accelerated training, and end-to-end ML production, including data pipelines and collaboration across teams.

Qualifications

• Strong experience building and deploying ML models for image and signal data.
• Experience with cloud platforms, especially Google Cloud Platform.
• Experience with ML Ops, model monitoring and deployment.

Responsibilities

• Work on seismic and well log data to identify simple geologic characteristics.
• Develop full-stack ML solutions focusing on image processing and time-series signal processing.
• Collaborate to build and maintain large training pipelines using distributed training frameworks.

Skills

ML Ops

Computer vision

Deep learning

Time series processing

GPU training

Tools

Google Cloud Platform

TensorFlow

PyTorch

Vertex AI

Kubeflow

Job description

Position: Senior Machine Learning Engineer

Location: Mountain View, CA (Hybrid or Remote)

Duration: 12+ Months

**Key skills:**ML Ops, computer vision (image models and processing), deep learning, GPU training, Google Cloud Platform, TensorFlow, PyTorch, Agentic coding tools

Role Overview:

We are looking for an ML Engineer who will be working on products related to seismic and well log data, identifying simple geologic characteristics of the data (faults, horizons). Full stack ML with the focus on signal processing - image and time series.

We are looking for a candidate who:

1. Versed in deep learning, GPU training and inference, image models.
2. Seasoned in model training and setting distributed model training pipelines. Specifically using Vertex, Kubeflow, etc for training of larger models on large amounts of data (Image, language).

Requirements:

• Strong experience in building and deploying machine learning models, with a focus on image processing and time series signal processing.
• Experience in training and fine-tuning ML models.
• Experience in building and maintaining data pipelines for image and other sensor data.
• Experience with ML Ops tools and practices, such as model monitoring, versioning, and deployment.
• Experience in working with data labeling tools.
• Experience with cloud platforms, Google Cloud Platform in particular. Experience with edge deployments is a plus
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Strong problem-solving skills.
• Passionate about machine learning and its applications.