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Aws Next Gen Stats Jobs (NOW HIRING)

Neuralink

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

Neuroengineer, Next Gen Austin, Texas, United States; South San Francisco, California, United ... Experience with modern statistical inference and machine learning, including for machine vision ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

Team Description: The Next Gen team at Neuralink is developing the next generation of brain ... Experience with modern statistical inference and machine learning, including for machine vision ...

Latent AI

Neuroengineer, Next Gen

Fremont, CA · On-site

$150 - $200/hr

Team Description: The Next Gen team at Neuralink is developing the next generation of ... Experience with modern statistical inference and machine learning, including for machine vision ...

Neuralink

Neuroengineer, Next Gen

Austin, TX · On-site

$122K - $226K/yr

Team Description: The Next Gen team at Neuralink is developing the next generation of brain ... Experience with modern statistical inference and machine learning, including for machine vision ...

Far Coder

$150 - $200/hr

NetDocuments is hiring a remote candidate for Staff Software Engineer - Next Gen. This is a ... NET, and AWS. You'll partner closely with Product, Design, Platform Services, and engineering ...

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Aws Next Gen Stats information

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$90.7K

$211.5K

How much do aws next gen stats jobs pay per year?

As of Sep 7, 2026, the average yearly pay for aws next gen stats in the United States is $90,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an AWS Next Gen Stats?

An AWS Next Gen Stats job typically involves working with advanced analytics, machine learning, and cloud computing to analyze and interpret complex data, often in the sports and entertainment industries. This role focuses on leveraging AWS technologies to process large datasets, generate insights, and optimize performance metrics. Responsibilities may include building data pipelines, developing analytics dashboards, and collaborating with engineers and analysts to enhance decision-making. Strong skills in AWS services, data engineering, and statistical analysis are usually required.

What are the key skills and qualifications needed to thrive in the AWS Next Gen Stats position, and why are they important?

To succeed in an AWS Next Gen Stats position, you need strong expertise in AWS cloud services, data analytics, and statistical modeling, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like AWS Lambda, Amazon Redshift, Python, and relevant AWS certifications such as AWS Certified Solutions Architect are often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and interpret complex data for diverse audiences. These competencies ensure the delivery of accurate, actionable insights from large-scale sports data on robust cloud platforms.

What are some typical challenges faced by professionals working in AWS Next Gen Stats roles?

Professionals in AWS Next Gen Stats often face the challenge of processing and analyzing massive volumes of real-time sports data while maintaining data accuracy and system performance. Keeping up with new AWS features and evolving best practices requires continuous learning and adaptation. Additionally, collaborating closely with data engineers, software developers, sports analysts, and clients to translate complex analytics into meaningful insights can be demanding but also rewarding. Navigating these challenges helps build a robust skill set and offers excellent growth opportunities within the fields of cloud data analytics and sports technology.

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Aws Next Gen Stats jobs near you
Infographic showing various Aws Next Gen Stats job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $90,651 per year, or $43.6 per hour.

Neuroengineer, Next Gen

Neuralink

South San Francisco, CA • On-site

$122K - $226K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Neuroengineer, Next Gen

Austin, Texas, United States; South San Francisco, California, United States

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.

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Job Description and Responsibilities:

  • Develop computational models of, and design encoding strategies for, electrical stimulation
  • Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
  • Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
  • Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
  • Present results in a collaborative setting

Required Qualifications:

  • Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
  • 4+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications:

  • Experience with modern statistical inference and machine learning, including for machine vision applications
  • Experience with neural stimulation
  • Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
  • Experience modeling electric fields using finite element modeling (FEM)
  • Experience building and programming experimental instrumentation
  • Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface

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:

$122,000 - $226,000 USD

What We Offer:

  • 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

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