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Senior Machine Learning Engineer Jobs in California

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

They are seeking a Senior Machine Learning Engineer to develop and maintain machine learning infrastructure, particularly for cash advance underwriting models and other applications, while ...

Leidos

Senior Machine Learning Engineer

Vista, CA

$107.90K - $195.05K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107.90K - $195.05K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112.10K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

BILL

Senior Machine Learning Engineer

San Jose, CA · On-site

$122.50K - $168.20K/yr

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA

$144.30K - $190.30K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Attentive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144.30K - $190.30K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

BILL

Senior Machine Learning Engineer

San Jose, CA · On-site

$143.50K - $189.20K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experience. Responsibilities : • Design ...

Attentive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Leidos

Senior Machine Learning Engineer

Vista, CA

$107.90K - $195.05K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA

$123.10K - $169.10K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...

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Senior Machine Learning Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

How much do senior machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior machine learning engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in California? The most popular types of Machine Learning Engineer jobs in California are:
What are popular job titles related to Senior Machine Learning Engineer jobs in California? For Senior Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in California look for? The top searched job categories for Senior Machine Learning Engineer jobs in California are:
What cities in California are hiring for Senior Machine Learning Engineer jobs? Cities in California with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in California as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Lorven Technologies

Mountain View, CA • On-site

$123.20K - $169.20K/yr

Full-time

Posted 21 days ago

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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