1

Research Assistant Machine Learning Jobs in San Ramon, CA

Operations Research * Solid understanding of statistics and experimental methods for model evaluation and comparison. * Proven experience deploying, monitoring, and maintaining machine learning ...

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

Rapidly implement and iterate on machine learning models, signals and research ideas * Design and run experiments to evaluate and improve model and agent performance and investment impact * Build ...

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... Become part of a collaborative team that tackles research problems through a process of prototyping ...

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the ... This will require close collaboration with our robotics, research, and engineering team. Your work ...

We apply deep learning research to large scale EEG datasets collected on affordable hardware to ... About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ...

next page

Showing results 1-20

Research Assistant Machine Learning information

See San Ramon, CA salary details

$9

$24

$35

How much do research assistant machine learning jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for research assistant machine learning in San Ramon, CA is $24.48, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.46 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a Research Assistant in Machine Learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive in the Research Assistant Machine Learning position, and why are they important?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in San Ramon, CA? For Research Assistant Machine Learning jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in San Ramon, CA look for? The top searched job categories for Research Assistant Machine Learning jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Research Assistant Machine Learning jobs? Cities near San Ramon, CA with the most Research Assistant Machine Learning job openings:
Machine Learning Engineer

Other

Posted 12 days ago


Job description

Machine Learning Engineer

Location: Fremont, CA Duration: 12+ Months Tesla/ $65

About the Role

Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning solutions that support factory and warehouse operations. You will transform complex and ambiguous business challenges into scalable, end-to-end solutions using a variety of machine learning techniques, including supervised learning, computer vision, and deep learning frameworks such as PyTorch. The ideal candidate will collaborate closely with cross-functional teams across Production, Process Engineering, Controls, and Quality to address critical operational challenges. This position requires hands-on experience with model development, deployment, monitoring, and maintenance in production environments, as well as the ability to work with diverse and multi-modal datasets, including images, sensor data, voice, text, and structured data.

Key Responsibilities
  • Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
  • Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
  • Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
  • Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
  • Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
  • Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Required Qualifications
  • Strong proficiency in Python, particularly for high-performance and data-intensive applications.
  • Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
  • Expertise in one or more of the following domains:
    • Computer Vision
    • Large Language Models (LLMs)
    • Recommender Systems
    • Operations Research
  • Solid understanding of statistics and experimental methods for model evaluation and comparison.
  • Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
  • Strong commitment to writing clean, modular, and sustainable code.
Preferred Qualifications
  • Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
  • Familiarity with multi-modal data processing and integration techniques.
  • Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
  • Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.