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Internship Machine Learning Government Jobs in Texas

Pluralsight, LLC

Machine Learning Engineer

Westlake, TX · On-site

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... Thousands of companies, government organizations and individuals around the world rely on ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

... and government entities across more than 200 countries and territories, dedicated to uplifting ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

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All JobsMachine Learning Government JobsInternship Machine Learning Government JobsInternship Machine Learning Government Jobs in Texas

Internship Machine Learning Government information

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Government, and why are they important?

To thrive as a Machine Learning Intern in a government setting, you typically need a strong background in statistics, programming (such as Python or R), and foundational knowledge of machine learning algorithms, often supported by ongoing or completed coursework in computer science or a related field. Familiarity with tools like TensorFlow, Scikit-learn, and data management systems, as well as experience with data security protocols, is commonly required. Strong analytical thinking, attention to detail, and clear communication skills help interns interpret complex data and present findings to non-technical stakeholders. These skills ensure that machine learning solutions are robust, ethical, and aligned with governmental objectives and regulations.

What is the difference between Internship Machine Learning Government vs Internship Data Analysis Government?

AspectInternship Machine Learning GovernmentInternship Data Analysis Government
Required CredentialsRelevant coursework, basic programming skills, familiarity with ML frameworksStatistics knowledge, data handling skills, basic programming
Work EnvironmentResearch labs, government agencies, collaborative teamsData departments, policy units, government offices
Employer & Industry UsageFederal/state agencies, research institutionsGovernment departments, public sector organizations
Common Search & Comparison IntentUnderstanding ML internship roles in governmentExploring data analysis internship opportunities in government

Internship Machine Learning Government focuses on applying machine learning techniques within government projects, often requiring programming and ML knowledge. Internship Data Analysis Government emphasizes analyzing government data sets to support policy and decision-making, with a focus on statistics and data handling. Both internships are valuable for careers in public sector data roles but differ in technical focus and skill requirements.

What types of projects do interns typically work on in a government machine learning internship?

In a government machine learning internship, interns often contribute to projects involving data analysis, predictive modeling, or automation of processes using machine learning algorithms. These projects may focus on areas such as public health, security, or resource management, depending on the agency's mission. Interns usually work within a multidisciplinary team, collaborating with data scientists, engineers, and policy experts, and may be tasked with tasks like cleaning datasets, developing prototypes, or assisting in report generation. This hands-on experience provides insight into how machine learning can address real-world challenges in the public sector.

What is an Internship in Machine Learning in the Government sector?

An Internship in Machine Learning within the government sector involves working with public agencies or departments to apply machine learning techniques to real-world problems. Interns may assist with analyzing public datasets, developing predictive models, or supporting decision-making processes using AI tools. These internships provide practical experience in deploying technology for public benefit, often focusing on areas like public health, security, or resource management. Interns gain exposure to both technical skills and the unique challenges of working within governmental frameworks.
What are the most commonly searched types of Machine Learning Government jobs in Texas? The most popular types of Machine Learning Government jobs in Texas are:
What cities in Texas are hiring for Internship Machine Learning Government jobs? Cities in Texas with the most Internship Machine Learning Government job openings:
Internship Machine Learning Government jobs near you
Machine Learning Engineer

Machine Learning Engineer

Neuralink

Austin, TX • On-site

$199K - $331K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 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

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