Senior Machine Learning Engineer
3 days per week from office if onsite in Mountain View or remote Hybrid in Mountain View, CA, US
Posted 4 hours ago
Updated 4 hours ago Contract W2 12 Months No Travel Required Able to Sponsor Remote Depends on Experience Fitment Dice Job Match Score™ 🧠 Analyzing your skills.

.. Job Details Skills Recruiting Google Cloud Platform Image Processing Machine Learning (ML) Machine Learning Operations (ML Ops) Problem Solving Good Clinical Practice Deep Learning Employment Authorization GPU Prototyping Collaboration Communication Conflict Resolution FOCUS PyTorch Sensors Vertex Cloud Computing Signal Processing TensorFlow Time Series Training Recruiting Google Cloud Platform Image Processing Machine Learning (ML) Machine Learning Operations (ML Ops) Problem Solving Good Clinical Practice Deep Learning Employment Authorization GPU Prototyping Collaboration Communication Conflict Resolution FOCUS PyTorch Sensors Vertex Cloud Computing Signal Processing TensorFlow Time Series Training Summary Position Senior Machine Learning Engineer Main skills ML Ops, image models , deep learning, GPU training, Google Cloud Platform, 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. Employment type W2 Project duratio 12 months Location Mountain View, CA or Remote Work mode 3 days per week from office if onsite in Mountain View or remote Travel No Recruitment process General
> Technical Interview
> Client Interview Required start date ASAP Level Senior level Work authorization statu H1B and TN visa candidates can be considered.

Any applicant needs to be on your W2 . 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. Additional (nice to have) skills:
Google Cloud Platform 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.
Quick prototyping experience is a great plus.

The team will need to build prototypes to validate hypotheses. Employers have access to artificial intelligence language tools (\"AI\") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

91126058

Position Id:

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W2 - Senior Machine Learning Engineer - 3 days per week from office if onsite in Mountain View or remote