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Remote Machine Learning Researcher Jobs in California

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site +1

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$125K - $172K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine ... remote. What You'll Do: * Implement and refine DL pipelines on distributed computing platforms ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

New

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Familiarity with CNNs, RNN, LSTMs, and the latest research trends. * Experience implementing, deploying, and maintaining production machine learning systems. * Experience monitoring and optimizing ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

You will bridge the gap between core AI research and production-grade engineering, developing ... Employee divides their time between in-office and remote work. Access to an office location is ...

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Remote Machine Learning Researcher information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Researcher, and why are they important?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.
What are the most commonly searched types of Machine Learning Researcher jobs in California? The most popular types of Machine Learning Researcher jobs in California are:
What are popular job titles related to Remote Machine Learning Researcher jobs in California? For Remote Machine Learning Researcher jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Researcher jobs in California look for? The top searched job categories for Remote Machine Learning Researcher jobs in California are:
What cities in California are hiring for Remote Machine Learning Researcher jobs? Cities in California with the most Remote Machine Learning Researcher job openings:
Remote Machine Learning Researcher jobs near you

Machine Learning Researcher

Alljoined

San Francisco, CA • On-site, Remote

$140K - $250K/yr

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

About Alljoined
Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode images, text, and video initially, and eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform what we can do at home and work.
We are actively growing our world-class team of researchers to build the next interface to improve individual lives as well as the well-being of society as a whole.
About the Role
We're seeking a talented Machine Learning Researcher to join our core R&D team. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding systems. You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces.
Key Responsibilities
  • Research & Model Development:
    • Develop, train, and refine state-of-the-art deep learning models for neural decoding, building on the latest advancements in ML architectures (e.g., transformers, diffusion models, etc).
    • Explore novel approaches for modeling high-frequency timeseries EEG datasets along with a number of adjacent data modalities.
    • Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack.
  • Collaboration & Publication:
    • Collaborate with a team of neuroscientists and ML engineers to create scalable, end-to-end neural decoding solutions.
    • Publish findings at top-tier ML and AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and contribute to open-source communities where appropriate.
Qualifications
  • Educational Background & Experience:
    • Bachelor's degree in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Mathematics, Biomedical Engineering, etc), with 5-7 years of experience in ML research or applied ML engineering; OR
    • Graduate degree (M.S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical Engineering) with 3+ years of experience in ML research or applied ML engineering.
    • Candidates with a Ph.D. and/or experience in high profile ML research labs are strongly preferred.
  • Technical Expertise:
    • Multimodal Representation Learning (CLIP-style contrastive objectives, masked autoencoding)
    • Generative Modeling (diffusion, transformer-decoders, latent-GANs)
    • Temporal Sequence Modeling (state-space models, STFT-aware transformers, RWKV)
    • A track record of high-quality research demonstrated by publications in top ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR).
    • Strong proficiency in Python and PyTorch, familiarity with ML tooling, and distributed training.
    • Experience working in a production-quality codebase with modern code review standards.
Compensation Range
$140,000 - $250,000/year + equity
While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range.
Benefits
  • Options for housing support
  • Visa sponsorship
  • 3% 401k matching
  • Health insurance

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