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Manager Data Analyst Machine Learning Jobs in California

Data analysis and feature engineering: Apply your expertise to identify and generate features that ... Partner with product managers, data scientists, and other engineers to deliver impactful solutions

You will analyze large-scale datasets to identify gaps in data quality and coverage and develop ... Strong background in machine learning and computer vision, including classical ML and statistical ...

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class ... Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years ...

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class ... Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years ...

Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure ... Utilize cloud computing platforms such as AWS and GCP to manage large-scale data processing and ...

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Demonstrated experience in one or more of the following areas: data management, scientific data analysis, machine learning * Works well in a collaborative team environment * Demonstrated capability ...

Work cross-functionally with Core Infrastructure, Product Management, and Data Science teams to ... analysis and model prototyping). * Distributed Systems & Big Data: Practical experience with ...

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly ...

Showing results 41-60

Manager Data Analyst Machine Learning information

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

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

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

What cities in California are hiring for Manager Data Analyst Machine Learning jobs?

Cities in California with the most Manager Data Analyst Machine Learning job openings:

Full-time

Re-posted 11 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.