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Executive Google Cloud Machine Learning Engineer Jobs in California

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Lead Machine Learning Engineer (IC)

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

New

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

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Executive Google Cloud Machine Learning Engineer information

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in California? The most popular types of Google Cloud Machine Learning Engineer jobs in California are:
What cities in California are hiring for Executive Google Cloud Machine Learning Engineer jobs? Cities in California with the most Executive Google Cloud Machine Learning Engineer job openings:

Senior Machine Learning Engineer

Lorven technologies

Mountain View, CA • On-site

$95 - $100/hr

Contractor

Re-posted yesterday


Job description

We have a Senior Machine Learning Engineer role.
 
Below are the key details:
Main skill: Time Series, ML models training production experience, Vision Models - 2D/3D
 
Project duration: 12 months
Location: 3 days per week onsite in Mountain View, CA
Recruitment process: General Interview – Technical Interview (90 min) – Client interview 2 rounds
Required start date: Asap
Level: Senior/ Lead
 
Role Overview:
Looking for a Machine Learning Engineer to work on products related to seismic and well log data. The role will involve identifying simple geologic characteristics of the data (faults, horizons) and requires working knowledge of different subsurface data formats and types.                                                                
  • Strong experience in building and deploying machine learning models, especially in image processing and time series signal processing.
  • Proficiency with TensorFlow and PyTorch.
  • Hands-on experience with training and fine-tuning ML models for production.
  • Skilled in building and maintaining data pipelines for image and sensor data.
  • Familiarity with ML Ops tools and practices (model monitoring, versioning, and deployment).
  • Experience with data labeling tools.
  • Knowledge of cloud platforms, particularly Google Cloud Platform (GCP). 
  • Time series and ML model training experience in production environments.
  • Expertise in Vision Models (2D/3D).

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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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