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Commission Machine Learning Neuroscience Jobs in California

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research ...

nudge

Machine Learning Engineer

San Francisco, CA · On-site

About the role As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience.

Nudge

Machine Learning Engineer

San Francisco, CA · On-site

About the role As a Machine Learning Lead at Nudge, you will drive the development of next-generation ML and imaging systems at the intersection of ultrasound, signal processing, and neuroscience.

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience). * Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and ...

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

Description We are seeking an experienced Machine Learning Research Engineer to design and apply ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... sales commissions). The final offer amount will depend on several factors, including geographic ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... sales commissions). The final offer amount will depend on several factors, including geographic ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

Sunnyvale, California, United States -- Machine Learning and AI Our team delivers algorithms that ... This role might also be eligible for discretionary bonuses or commission payments as well as ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

Preferred Qualifications MS or PhD in computer vision, computer graphics, machine learning ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$150K - $225K/yr

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Own small to medium components of machine learning systems from technical designthrough ... The amount and availability of any bonus, commission, incentive, benefits, or any other form of ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

The machine learning models will drive rapid design iterations by assessing potential risks and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

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All JobsMachine Learning Neuroscience JobsCommission Machine Learning Neuroscience JobsCommission Machine Learning Neuroscience Jobs in California

Commission Machine Learning Neuroscience information

What is the difference between Commission Machine Learning Neuroscience vs Data Scientist?

AspectCommission Machine Learning NeuroscienceData Scientist
Required CredentialsMaster's or PhD in Neuroscience, Machine Learning, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, healthcare, or tech companies focusing on neuroscience applicationsBusiness, tech firms, or consulting firms analyzing data across industries
Employer & Industry UsageResearch institutions, biotech, healthcare, AI startupsFinance, tech, marketing, healthcare, and consulting

Commission Machine Learning Neuroscience specialists focus on applying machine learning techniques to neuroscience data, often in research or healthcare settings. Data Scientists analyze large datasets across various industries, including finance and tech. While both roles require strong analytical skills, Commission Machine Learning Neuroscience emphasizes neuroscience expertise combined with machine learning, whereas Data Scientists have broader industry applications.

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

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

What cities in California are hiring for Commission Machine Learning Neuroscience jobs?

Cities in California with the most Commission Machine Learning Neuroscience job openings:

Commission Machine Learning Neuroscience jobs near you

Machine Learning Researcher

Alljoined

San Francisco, CA • On-site

$140K - $250K/yr

Full-time

Medical

Re-posted 13 days ago

Job description

About Alljoined
Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale neural datasets to decode internal thought directly. By advancing the frontier of neural decoding, we aim to unlock meaningful breakthroughs in human wellness and capability.
About the Role
We are looking for a talented Machine Learning Researcher to join our core R&D team. You will design and implement advanced machine learning models for EEG-based neural decoding, contribute to high-impact research, and help build the foundational infrastructure behind our brain-decoding systems.
You will work closely with leading experts in neural decoding and AI to push the boundaries of what is possible in brain-computer interfaces. This role sits at the intersection of ambitious research and rigorous engineering: you will explore novel modeling approaches while translating promising ideas into reliable, production-quality systems.
What You'll Work On
  • Develop, train, and refine state-of-the-art deep learning models for neural decoding, drawing on recent advances in architectures such as transformers and diffusion models.
  • Explore novel methods for modeling high-frequency, time-series EEG data alongside several adjacent data modalities.
  • Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack.
  • Collaborate with neuroscientists and machine learning engineers to build scalable, end-to-end neural-decoding systems.
  • Publish findings at leading machine learning and AI conferences, including NeurIPS, ICML, ICLR, and CVPR.
  • Contribute to open-source communities where appropriate.
You May Be a Good Fit If You Have
  • A bachelor's degree in computer science or a related field-such as artificial intelligence, computational neuroscience, mathematics, or biomedical engineering-and five to seven years of experience in machine learning research or applied machine learning engineering; or
  • A graduate degree (M.S. or Ph.D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research or applied machine learning engineering.
  • A track record of high-quality research, demonstrated through publications at leading machine learning conferences or in respected journals, including NeurIPS, ICML, ICLR, or CVPR.
  • Strong proficiency in Python and PyTorch, along with familiarity with modern machine learning tooling and distributed training.
  • Experience contributing to a production-quality codebase with modern code-review standards.

Candidates with a Ph.D. and/or experience working in a high-profile machine learning research lab are strongly preferred.
Areas of Relevant Expertise
We are particularly interested in candidates with experience in one or more of the following areas:
  • Multimodal representation learning: CLIP-style contrastive objectives and masked autoencoding.
  • Generative modeling: Diffusion models, transformer decoders, and latent GANs.
  • Temporal sequence modeling: State-space models, STFT-aware transformers, and RWKV.

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
  • Health insurance

Apply