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Lstm Machine Learning Jobs (NOW HIRING)

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Machine Learning Engineer, Commerce Ads

San Jose, CA · On-site

$156K - $316K/yr

Have essential knowledge and skills in statistics. • Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). • Familiar with the architecture and ...

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$25.5K

$42.6K

$88K

How much do lstm machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for lstm machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Lstm Machine Learning vs Data Scientist?

AspectLstm Machine LearningData Scientist
Required CredentialsKnowledge of machine learning, programming, and data analysisDegree in data science, statistics, or related field; often includes certifications
Work EnvironmentResearch and development, algorithm design, model trainingData analysis, reporting, business insights across industries
Industry UsageAI, NLP, time-series predictionBusiness, finance, healthcare, tech

While Lstm Machine Learning focuses on designing and implementing specific neural network models like LSTM for sequence data, Data Scientists analyze data broadly to generate insights, often utilizing various machine learning techniques including LSTM models. Both roles require programming skills and data analysis expertise but differ in scope and application.

Infographic showing various Lstm Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 38% Full Time, 58% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Research Scientist

Machine Learning Research Scientist

GroupSolver

San Diego, CA

Part-time

Posted 14 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

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