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Executive Natural Language Processing Engineer Jobs in California

Experience building and delivering applied machine learning or natural language processing solutions with measurable outcomes in production. * Strong programming skills in Python and experience using ...

As a Speech Recognition Engineer , you will be responsible for consumer product design for our ... Experience in building speech recognition and natural language processing systems (e.g., commercial ...

... natural language processing (NLP), and machine learning (Client) algorithm Collaboration: Work ... engineers to integrate AI models into our existing apps, ensuring a seamless and intuitive user ...

Software Engineer

Sacramento, CA · On-site

$100 - $130/hr

Engineering - Sacramento, California, United States - Full Stack and AI About the team At OceanAI ... Strong experience with deep learning and natural language processing * Hands‑on experience with ...

As a Speech Recognition Engineer , you will be responsible for consumer product design for our ... Experience in building speech recognition and natural language processing systems (e.g., commercial ...

... natural language processing (NLP), and machine learning (Client) algorithm Collaboration: Work ... engineers to integrate AI models into our existing apps, ensuring a seamless and intuitive user ...

Description As an Automation Engineer, you will develop software solutions for our current and ... A background in generative models, natural language processing, and large language models (LLMs) #J ...

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Infographic showing various Executive Natural Language Processing Engineer job openings in California as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Full-time

Re-posted 12 days ago


Job description

Job Summary:
MBZUAI is a dedicated research lab for building, understanding, using, and risk-managing foundation models. As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI discoveries.
Responsibilities:
• Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
• Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Excellent problem-solving and troubleshooting skills to address complex technical challenges.
• Effective communication and collaboration skills to work with cross functional teams.
Preferred:
• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with improving performance during large scale data processing.
• Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
• Excellent data analysis skills.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.