D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience • At least 2+ years of practical experience in training, fine ...
D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience • At least 2+ years of practical experience in training, fine ...
$150K - $300K/yr
Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply). * Fluency with Pytorch, and familiarity with JAX, CUDA, and ...
Quick apply
$150K - $300K/yr
Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply). * Fluency with Pytorch, and familiarity with JAX, CUDA, and ...
Machine Learning Researcher - Springtail
Emeryville, CA · On-site
$150K - $300K/yr
Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply). * Fluency with Pytorch, and familiarity with JAX, CUDA, and ...
Machine Learning Researcher - Springtail
Emeryville, CA · On-site
$150K - $300K/yr
Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply). * Fluency with Pytorch, and familiarity with JAX, CUDA, and ...
Machine Learning Engineer
Cary, NC · On-site
From company-wide volunteer days to events like our Q2 Homecoming Week--featuring learning ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...
Machine Learning Engineer
Cary, NC · On-site
From company-wide volunteer days to events like our Q2 Homecoming Week--featuring learning ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...
You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience In This Position, You Will * Attract, build and lead a team of exceptional ...
You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience In This Position, You Will * Attract, build and lead a team of exceptional ...
You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience In This Position, You Will * Attract, build and lead a team of exceptional ...
You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience In This Position, You Will * Attract, build and lead a team of exceptional ...
... learning loops that improve themselves with every release. Your work will model how users feel ... In short, you'll turn first-principles data science, neuroscience, cognitive science, and machine ...
... learning loops that improve themselves with every release. Your work will model how users feel ... In short, you'll turn first-principles data science, neuroscience, cognitive science, and machine ...
Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...
Quick apply
Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...
Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...
Quick apply
Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...
Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...
Quick apply
Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...
The Director of Machine Learning for the Alzheimer's Disease Initiative will lead a team to develop ... and neuroscience communities • Publish high-impact research through preprints, journal ...
The Director of Machine Learning for the Alzheimer's Disease Initiative will lead a team to develop ... and neuroscience communities • Publish high-impact research through preprints, journal ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative ... and neuroscience communities • Publish high-impact research through preprints, journal ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative ... and neuroscience communities • Publish high-impact research through preprints, journal ...
Robotics Engineer (Simulation, Hardware & Deployment)
Palo Alto, CA · On-site
$175K - $250K/yr
Our founding team spans machine learning, neuroscience, and neurotechnology, with prior work including the MICrONS project, Neuropixels, and the Enigma project, as well as foundational scientific ...
Robotics Engineer (Simulation, Hardware & Deployment)
Palo Alto, CA · On-site
$175K - $250K/yr
Our founding team spans machine learning, neuroscience, and neurotechnology, with prior work including the MICrONS project, Neuropixels, and the Enigma project, as well as foundational scientific ...
Machine Learning Engineer - Ads
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
Machine Learning Engineer - Ads
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
Machine Learning Engineer - Ads
OR · On-site +1
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
Machine Learning Engineer - Ads
OR · On-site +1
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
Machine Learning Engineer - Ads
Bodega Bay, CA · On-site
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
Quick apply
Machine Learning Engineer - Ads
Bodega Bay, CA · On-site
$205K - $355K/yr
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...
Machine Learning Engineer
Austin, TX · On-site
From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...
Machine Learning Engineer
Austin, TX · On-site
From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...
From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...
From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning ... As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ...
Machine Learning Engineer II
Plano, TX · On-site
As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...
Machine Learning Engineer II
Plano, TX · On-site
As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative ... and neuroscience communities • Publish high-impact research through preprints, journal ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative ... and neuroscience communities • Publish high-impact research through preprints, journal ...
Volunteer Machine Learning Neuroscience information
See salary details
$12.74 - $16.46
7% of jobs
$16.46 - $20.17
12% of jobs
$21.19 is the 25th percentile. Wages below this are outliers.
$20.17 - $23.89
21% of jobs
The median wage is $25.56 / hr.
$23.89 - $27.60
21% of jobs
$29.81 is the 75th percentile. Wages above this are outliers.
$27.60 - $31.32
22% of jobs
$31.32 - $35.03
7% of jobs
$35.03 - $38.75
2% of jobs
$38.75 - $42.46
3% of jobs
$42.46 - $46.18
1% of jobs
$46.18 - $49.89
2% of jobs
$49.89 - $53.61
0% of jobs
$12
$28
$53
How much do volunteer machine learning neuroscience jobs pay per hour?
As of Sep 12, 2026, the average hourly pay for volunteer machine learning neuroscience in the United States is $28.31, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $30.53 per hour, depending on experience, location, and employer.
What cities are hiring for Volunteer Machine Learning Neuroscience jobs?
Cities with the most Volunteer Machine Learning Neuroscience job openings:
What are the most commonly searched types of Machine Learning Neuroscience jobs?
The most popular types of Machine Learning Neuroscience jobs are:
What states have the most Volunteer Machine Learning Neuroscience jobs?
States with the most job openings for Volunteer Machine Learning Neuroscience jobs include:
What other helpful pages are available for Volunteer Machine Learning Neuroscience?
Other pages related to Volunteer Machine Learning Neuroscience:
Machine Learning Research Scientist (1 Year Fixed Term)
Stanford, CA • On-site
Stanford University
• Colleges, Universities, and Professional Schools • 11 - 50 employees11 - 50 employees
Full-time
Re-posted 16 days ago
Stanford University rating
7.9
Based on 25 frontline employees who took The Breakroom Quiz
Job description
Job Summary:
Stanford University is a leading research institution dedicated to understanding natural intelligence through artificial intelligence. The Machine Learning Research Scientist will design and implement large-scale multimodal deep learning architectures and guide teams in establishing frameworks for brain foundation models, contributing to the project’s goal of aligning AI models with human-like neural representations.
Responsibilities:
• Design and implement large-scale multimodal deep learning architectures that relate sensory inputs to neuronal correlates of perception, action, and cognition
• Develop novel computational approaches for training and optimizing frontier models on unprecedented amounts of neural data
• Provide technical leadership in distributed training systems and model optimization techniques
• Guide cross-functional teams in establishing technical frameworks and evaluation metrics for brain foundation models
• Communicate research findings through publications, presentations, workshops and research blogs
• Stay ahead of the latest developments in machine learning and neuroscience, and propose innovative solutions to advance the project's goals
Qualifications:
Required:
• Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience
• At least 2+ years of practical experience in training, fine-tuning, and using multi-modal deep learning models
• Strong publication record in top-tier machine learning conferences and journals, particularly in areas related to multi-modal modeling
• Strong programming skills in Python and deep learning frameworks
• Demonstrated ability to lead research projects and mentor others
• Ability to work effectively in a collaborative, multidisciplinary environment
• Bachelor's degree and five years of relevant experience, or combination of education and relevant experience
• Expert knowledge of the principles of engineering and related natural sciences
• Demonstrated project leadership experience
• Demonstrated experience leading and/or managing technical professionals
Preferred:
• Background in theoretical neuroscience or computational neuroscience
• Experience in processing and analyzing large-scale, high-dimensional data of different sources
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services
• Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)
• Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)
• Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.
Stanford University is a leading research institution dedicated to understanding natural intelligence through artificial intelligence. The Machine Learning Research Scientist will design and implement large-scale multimodal deep learning architectures and guide teams in establishing frameworks for brain foundation models, contributing to the project’s goal of aligning AI models with human-like neural representations.
Responsibilities:
• Design and implement large-scale multimodal deep learning architectures that relate sensory inputs to neuronal correlates of perception, action, and cognition
• Develop novel computational approaches for training and optimizing frontier models on unprecedented amounts of neural data
• Provide technical leadership in distributed training systems and model optimization techniques
• Guide cross-functional teams in establishing technical frameworks and evaluation metrics for brain foundation models
• Communicate research findings through publications, presentations, workshops and research blogs
• Stay ahead of the latest developments in machine learning and neuroscience, and propose innovative solutions to advance the project's goals
Qualifications:
Required:
• Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience
• At least 2+ years of practical experience in training, fine-tuning, and using multi-modal deep learning models
• Strong publication record in top-tier machine learning conferences and journals, particularly in areas related to multi-modal modeling
• Strong programming skills in Python and deep learning frameworks
• Demonstrated ability to lead research projects and mentor others
• Ability to work effectively in a collaborative, multidisciplinary environment
• Bachelor's degree and five years of relevant experience, or combination of education and relevant experience
• Expert knowledge of the principles of engineering and related natural sciences
• Demonstrated project leadership experience
• Demonstrated experience leading and/or managing technical professionals
Preferred:
• Background in theoretical neuroscience or computational neuroscience
• Experience in processing and analyzing large-scale, high-dimensional data of different sources
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services
• Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)
• Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)
• Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Stanford University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Stanford Energy
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools and scientific research and development services
Company size
11 - 50 Employees
Headquarters location
Stanford, CA, US