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Help Nlp Engineer Jobs in California (NOW HIRING)

Senior Al Engineer

Mountain View, CA · On-site

$180 - $250/hr

Collaborate with senior engineers on small projects involving natural language processing (NLP), recommendation systems, or generative AI. Help collect, clean, and prepare datasets for model training ...

Responsibilities : • Leverage your NLP expertise to enhance our computational infrastructure and ... data to help point you in the correct direction. You optimize relentlessly, and understand the ...

Help us improve our agent and knowledge retrieval capabilities to push the frontier on unsolved ... NLP, multi-modal transformers, advanced information retrieval algorithms * Working on users ...

Responsibilities : • Help us build smart, useful, and scalable AI features. • Work across the ... Required : • 5+ years of engineering experience, ideally including ML, NLP, or applied AI ...

Fullstack Engineer

San Francisco, CA · On-site

$150K - $400K/yr

Help us become the biggest "GenAI for work" application in the world. This is an in-person role ... Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG ...

Lead Machine Learning Engineer

Millbrae, CA

$119K - $156K/yr

Please check out the following video to understand how we help vulnerable patients living at home ... Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ...

Showing results 41-60

Help Nlp Engineer information

What is the difference between Help Nlp Engineer vs Nlp Engineer?

AspectHelp Nlp EngineerNlp Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may accept certificationsBachelor's or Master's in CS, AI, or related; strong programming and ML skills
Work EnvironmentCollaborative teams, research labs, or tech companies focusing on NLP projectsDevelopment teams, research groups, or product-focused environments in AI companies
Employer & Industry UsageUsed in tech firms, startups, and research institutions working on NLP solutionsCommonly employed in similar settings, often with more advanced responsibilities

The main difference is that Help Nlp Engineers often focus on supporting NLP projects with basic tasks, while Nlp Engineers handle more complex development and implementation. Both roles require similar educational backgrounds and work in comparable environments, but Nlp Engineers typically have more experience and responsibility.

What cities in California are hiring for Help Nlp Engineer jobs?

Cities in California with the most Help Nlp Engineer job openings:

Infographic showing various Help Nlp Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted yesterday


Job description

ROLE SUMMARY 

The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities. 

ESSENTIAL DUTIES 

Data and analysis 

  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities. 
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment. 
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities. 
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights. 
  • Assist in fostering a culture of test & learn within the company. 

Leadership  

  • Serve as analytics consultant to a broad variety of line-of-business teams. 
  • Partner with technology teams on product changes and impacts on data/performance. 
  • Mentor junior analysts on various data science techniques. 

 QUALIFICATIONS 

  • Bachelor's degree in quantitative field. 
  • 5-7 years of experience in analytical or consulting roles. 
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's. 
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments. 
  • Must have deployed several models to production. 
  • Exposure to data engineering skills. 
  • Strong communication and partnership skills, effective cross-department collaboration skills. 
  • Self-starter who can work under limited supervision. 
  • Mentoring skills to help develop junior analysts. 

WORK ENVIRONMENT 

  • This role works on-site from Ascent's Encino office 2 days per week 

THE PAY 

Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year.