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Optimization Algorithms Jobs in California (NOW HIRING)

Nokia

AI R&D Engineer Co-op

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 ...

Nokia

AI R&D Engineer Co-op

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 ...

Netflix

Machine Learning Scientist 5 - Ad Ranking

Los Angeles, CA · On-site

$466K - $750K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and implement machine learning and optimization algorithms to improve ad quality and performance. Build, train, and evaluate models on large-scale production data. Develop online and offline ...

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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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Infographic showing various Optimization Algorithms job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

AI R&D Engineer Co-op

Nokia

Sunnyvale, CA • On-site

$20.10 - $70.40/hr

Full-time

Re-posted 20 days ago

Nokia rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

30th of 99 rated telecommunications companies

Job description


Number of Position(s): 1
Duration: 4 Months
Date: Sep 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.
Responsibilities
  • 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.

Qualifications
  • 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.

What Nokia employees say

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