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Senior Meta Machine Learning Jobs in California (NOW HIRING)

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 ...

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 ...

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production-you'll take ML ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta is seeking a Research Scientist with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON ) from ... Seniority levelMid-Senior level Employment type * Employment typeFull-time Job function * Job ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/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 ...

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Senior Meta Machine Learning information

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

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Meta Machine Learning jobs in California? The most popular types of Meta Machine Learning jobs in California are:
What job categories do people searching Senior Meta Machine Learning jobs in California look for? The top searched job categories for Senior Meta Machine Learning jobs in California are:
What cities in California are hiring for Senior Meta Machine Learning jobs? Cities in California with the most Senior Meta Machine Learning job openings:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Leidos

Vista, CA • On-site

$107K - $195K/yr

Full-time

Re-posted 3 hours ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 449 rated business services


Job description

Leidos' Security Enterprise Solutions (SES) operation is seeking a motivated and talented Senior Machine Learning Engineer to join our multidisciplinary, highly energized, and expert data science team. Leidos is a leading innovator in deploying AI solutions, and we are dedicated to pushing the boundaries of technology and data-driven insights. Join our dynamic team and be part of shaping the future and make global impact in border security.

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 cargo and vehicles through ports and borders worldwide. The ideal candidate is a senior level individual contributor and subject matter expert, who excels at taking requirements defined by business needs and generating MLOPS solutions.

Key Responsibilities:

  • Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks

  • Design and maintain reproducible training pipelines that support scalable and repeatable experimentation

  • Collaborate with cross-functional teams to integrate models into operational systems and workflows

  • Optimize model performance and reliability through continuous monitoring, testing, and iteration

Required Qualifications:

Data Science & Technical Foundation

  • MS or Ph.D. in Data Science, Engineering, Applied Science or a similar discipline and a minimum of 10 years of industry experience

  • Ability to support the full ML lifecycle, from data preparation and training to deployment and monitoring

  • Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability

  • Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs

  • Experience deploying and managing machine learning models in production environments using Docker or Kubernetes

  • Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

  • Ability to evaluate technical approaches and guide technical decision-making

  • Strong track record of delivery ownership and cross-functional collaboration

  • Ability to multitask across projects

  • Excellent communication skills, both written and verbal

  • Some travel is required in support of projects (< 25%)

  • Ability to obtain and maintain Public Trust access.

Desired / Nice-to-Have Qualifications:

  • Experience using Kubeflow or Airflow

  • Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net

  • Experience working with images from medical, security, or NDT devices

  • Experience defining data science standards and best practices

  • Experience in training machine learning models with synthetic data, that can achieve high detection during real-time inference

  • Experience working on Customs and Border Patrol contracts

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:May 14, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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