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Machine Learning Computational Neuroscience Phd Jobs

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Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

PhD/postdoc in neuroscience or a related field. * Extensive experience in designing and executing ... Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch ...

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Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

About the Role We're seeking a talented Machine Learning Researcher to join our core R&D team. This ... S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience ...

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Machine Learning Computational Neuroscience Phd information

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$40

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$74

How much do machine learning computational neuroscience phd jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for machine learning computational neuroscience phd in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

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

AspectMachine Learning Computational Neuroscience PhdData Scientist
Required CredentialsPhD in computational neuroscience, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, academia, or R&D departments in tech/biotechBusiness, tech companies, or consulting firms
Industry UsageResearch, academia, specialized R&DBusiness analytics, product development, decision-making
Common Search/ComparisonYesYes

While both roles involve data analysis and machine learning, the Machine Learning Computational Neuroscience Phd focuses on understanding brain functions and developing models in research settings, often requiring a PhD. Data Scientists typically work on business problems, using data to inform decisions, with a focus on applied analytics and less emphasis on neuroscience expertise.

Infographic showing various Machine Learning Computational Neuroscience Phd job openings in the United States as of June 2026, with employment types broken down into 26% Full Time, 48% Part Time, and 26% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Staff ML Scientist - Neuromorphic Computing & Spiking Neural Networks

Triangle Workforce

Durham, NC • Remote

Full-time

Posted 3 days ago

Job description

We are hiring a Staff ML Scientist to lead research and development of spiking neural network (SNN) architectures for ultra-low-power, real-time edge inference. This rare role sits at the convergence of computational neuroscience and production machine learning, requiring expertise in neuromorphic hardware platforms (Intel Loihi 2, BrainChip Akida, SynSense), temporal coding schemes, and spike-timing-dependent plasticity (STDP) learning rules.


You will design brain-inspired ML models that achieve orders-of-magnitude improvements in energy efficiency over traditional deep learning for time-series, sensor fusion, and event-driven vision applications.


Candidates must have hands-on experience training and deploying SNNs, deep familiarity with frameworks like Norse, snnTorch, or Lava, and ideally published work in neuromorphic engineering or computational neuroscience. PhD required. Experience bridging the gap between neuromorphic research prototypes and production-ready inference systems is critical.


Key Skills: Spiking Neural Networks, Neuromorphic Computing, Intel Loihi, snnTorch, Norse, Lava, Edge ML, Sensor Fusion, PyTorch, STDP


This is a remote-first position based in North Carolina.