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Temporary Machine Learning R Jobs in California (NOW HIRING)

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive ... R, Spark). * Solid understanding of ML techniques (classification, regression, clustering) and ML ...

Senior Machine Learning Engineer

San Diego, CA ยท On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive ... R, Spark). * Solid understanding of ML techniques (classification, regression, clustering) and ML ...

Showing results 41-60

Temporary Machine Learning R information

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are the most commonly searched types of Machine Learning R jobs in California?

The most popular types of Machine Learning R jobs in California are:

What cities in California are hiring for Temporary Machine Learning R jobs?

Cities in California with the most Temporary Machine Learning R job openings:

Machine Learning Research Scientist

San Diego, CA โ€ข On-site, Remote

GroupSolver
Marketing Researchย โ€ขย 11 - 50 employees

Part-time

Re-posted 18 days ago


Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
Employment Type: PART_TIME