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Optimization Algorithms Jobs in California (NOW HIRING)

AI R&D Engineer Coop

Sunnyvale, CA · On-site

$240K/yr

Machine learning, optimization algorithms, and deep-learning techniques. * Machine learning frameworks (e.g., TensorFlow, PyTorch). * Search engines and vector databases, along with their underlying ...

This role focuses on building and refining predictive algorithms, statistical/geometric shape models, and optimization techniques that enable surgeons to plan and simulate spinal procedures with ...

AI R&D Engineer Coop

Sunnyvale, CA · On-site

$20.10 - $70.40/hr

Machine learning, optimization algorithms, and deep-learning techniques. * Machine learning frameworks (e.g., TensorFlow, PyTorch). * Search engines and vector databases, along with their underlying ...

Software Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

Implement optimization algorithms (routing, scheduling, matching) * Work closely with Data/ML engineers on prediction, optimization, and AI-driven systems * Leverage AI tools such as Claude, Codex ...

Be Seen First

Stay current with SEO algorithm updates, WordPress best practices, and AI-driven search trends * Create and optimize graphics and video content Required Qualifications * Minimum 5 years of hands-on ...

Be Seen First

Stay current with SEO algorithm updates, WordPress best practices, and AI-driven search trends * Create and optimize graphics and video content Required Qualifications * Minimum 5 years of hands-on ...

Apply Early

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Optimization Algorithms information

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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What cities in California are hiring for Optimization Algorithms jobs? Cities in California with the most Optimization Algorithms job openings:
Infographic showing various Optimization Algorithms job openings in California as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
AI R&D Engineer Coop

AI R&D Engineer Coop

Nokia

Sunnyvale, CA • On-site

$240K/yr

Full-time

Posted 9 days ago


Nokia rating

8.6

Company rating: 8.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 80 rated telecommunications companies


Job description

Number of Position(s): 1
Duration: 4 Months
Date: Sept 8 - Dec 18, 2026
Location:  Onsite in Sunnyvale, CA


Education Recommendations:
Currently a candidate for a Master's or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US. 

  •  Machine learning, optimization algorithms, and deep-learning techniques.
  •  Machine learning frameworks (e.g., TensorFlow, PyTorch). 
  • Search engines and vector databases, along with their underlying algorithms.    
  • Big data frameworks and technologies such as Spark, Kafka, and Cassandra. 
  • Excellent communication skills and is a team player. 
  • Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.  
  • Design and implement machine learning models to improve a wide range of applications, including search, forecasting, text mining, and more. 
  • Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more. 
  • Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.  

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