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Temporary Neural Networks Jobs (NOW HIRING)

... neural networks, biophysics, applied mathematics, or related disciplines is strongly preferred. LICENSES / CERTIFICATES: None. OTHER: HOURS & CLASSIFICATION AND STATUS: This is a temporary status ...

... neural networks, biophysics, applied mathematics, or related disciplines is strongly preferred. LICENSES / CERTIFICATES: None. OTHER: HOURS & CLASSIFICATION AND STATUS: This is a temporary status ...

... neural networks, k-nearest neighbors, clustering, and association rules. Students will gain hands ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

... neural networks (RNNs), and transformers, especially for tasks related to image recognition ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

... neural networks (RNNs), and transformers, especially for tasks related to image recognition ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... e.g., neural networks, SVM). * Provide expert consultation on study design, sample-size ...

... neural networks (RNNs), and transformers, especially for tasks related to image recognition ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... e.g., neural networks, SVM). * Provide expert consultation on study design, sample-size ...

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Temporary Neural Networks information

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$32K

$52.1K

$76K

How much do temporary neural networks jobs pay per year?

As of Jun 7, 2026, the average yearly pay for temporary neural networks in the United States is $52,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Neural Networks vs Data Scientists?

AspectTemporary Neural NetworksData Scientists
Required CredentialsBasic understanding of neural network concepts, often with short-term training or certificationsAdvanced degrees (BSc, MSc, PhD) in data science, computer science, or related fields
Work EnvironmentProject-based, often contracted or temporary roles in tech or research firmsFull-time or consulting roles in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed mainly in AI research, machine learning projects, and startupsWidely employed across industries for data analysis, predictive modeling, and decision-making

Temporary Neural Networks focus on short-term or project-specific AI model deployment, often requiring specialized technical skills. Data Scientists have a broader role involving data analysis, model development, and strategic insights across multiple industries. While both roles involve working with data and machine learning, Data Scientists typically have more extensive credentials and a wider scope of responsibilities.

More about Temporary Neural Networks jobs
What cities are hiring for Temporary Neural Networks jobs? Cities with the most Temporary Neural Networks job openings:
What are the most commonly searched types of Neural Networks jobs? The most popular types of Neural Networks jobs are:
What states have the most Temporary Neural Networks jobs? States with the most job openings for Temporary Neural Networks jobs include:
Machine Learning Engineer

Machine Learning Engineer

Neuralink

Austin, TX • On-site

$199K - $331K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$199,000-$331,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded