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Per Diem Medical Machine Learning Jobs in California

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing ... Great medical, dental, and vision insurance options with additional programs available when ...

New

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing ... Great medical, dental, and vision insurance options with additional programs available when ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

... per week on-site at our office in Menlo Park, CA. Relocation allowance available ... Benefits We offer excellent medical, dental, and vision coverage, alongside a strong benefits ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Medical, dental, and vision coverage * Generous PTO and flexible hybrid work model * 401(k) with ...

Titan Medical (Nebraska)

Travel Med/Tele RN

Inglewood, CA · On-site

$2.1K - $2.8K/wk

Per Diem Shift: Day (3x12) Certifications: ACLS/BCLS/BLS Titan Medical is looking for travelers to fill a Per Diem Med/Tele position in Inglewood, CA! Call Titan for additional details. (866) 332 ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Medical, dental, and vision coverage * Generous PTO and flexible hybrid work model * 401(k) with ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National ...

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Machine Learning Engineer

Institute of Foundation Models

Sunnyvale, CA

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

  • Collaborate with research teams to understand and integrate technologies into the codebase.

  • Develop and implement systems to support the lifecycle of machine learning models, especially foundation models.

  • Review code developed by others, provide feedback, and contribute to documentation and educational content.

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.
Key Responsibilites
  • 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.
Academic Qualifications
  • Minimum: Bachelor’s degree or equivalent practical experience. 
  • Preferred: Master's degree or PhD in Computer Science or related technical field.
 
Professional Experience - Minimum
  • 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.
Professional Experience - Preferred
  • 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.
Visa Sponsorship
This position is eligible for visa sponsorship.

Benefits Include
*Comprehensive medical, dental, and vision benefits 
 *Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability