Senior Machine Learning Engineer - Only W2

Role: Senior Machine Learning Engineer

Remote (or) 3 days per week from office if onsite in Mountain View, CA

Job Type: W2 Contract

Primary Skills: ML Ops, image models , deep learning, GPU training, GCP, TensorFlow, PyTorch, Agentic coding tools

Short 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 is:

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, GCP in particular. Experience with edge deployments is a plus

Additional (nice to have) skills:

• GCP would be useful, if no such experience, then it's expected that the candidate can quickly learn it before the start, and/or at the beginning of the engagement.
• Proficiency in TensorFlow and PyTorch
• Protocol Buffers.
• Containers.