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Machine Learning Government Jobs in Texas (NOW HIRING)

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Active US Government security clearance. * 2+ years of experience deploying machine learning models into production environments. * 2+ years of experience working with large language models, natural ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX

$101K - $133K/yr

Active US Government security clearance. * 2+ years of experience deploying machine learning models into production environments. * 2+ years of experience working with large language models, natural ...

Maximus

AI/ML Software Developer

Corpus Christi, TX · Remote

Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems * Prepares and structures data for machine learning pipelines, feature ...

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Machine Learning Government information

What are the key skills and qualifications needed to thrive in the Machine Learning Government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages.

Which 5 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI policy specialists, cybersecurity experts, software engineers, and system administrators are likely to persist as they require complex decision-making, domain expertise, and human oversight that AI cannot fully replicate. These jobs often involve ethical considerations, strategic planning, and nuanced understanding of government operations. Continuous learning and certification in relevant tools and regulations can enhance job security in these fields.

Which 3 jobs will survive AI?

For a Machine Learning Government role, jobs that require complex problem-solving, human judgment, and ethical decision-making are likely to persist, such as policy analysts, cybersecurity specialists, and data privacy officers. These roles involve understanding nuanced societal impacts and often require specialized certifications and ongoing adaptation to new regulations. Technical skills in AI, data analysis, and critical thinking will remain valuable in these positions.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

Can you use AI in government jobs?

Machine Learning Government roles often involve applying AI technologies to improve public services, data analysis, and decision-making processes. These jobs typically require knowledge of AI tools, programming skills, and understanding of government regulations related to data privacy and security.

What is a Machine Learning Government job?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

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 are popular job titles related to Machine Learning Government jobs in Texas? For Machine Learning Government jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Government jobs in Texas look for? The top searched job categories for Machine Learning Government jobs in Texas are:
Machine Learning Government jobs near you

Machine Learning for Physical Design Intern - CPU/AI Hardware

Tenstorrent University Jobs

Austin, TX

$50 - $70/hr

Other

Posted 24 days ago

Job description

As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.

This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.

Who You Are

  • Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS.
  • Possessing deep knowledge of math, probability, statistics, and algorithms.
  • Experienced in solving problems with Machine Learning models.
  • Skilled in algorithms, data structures, and software development using Python and C/C++.


What We Need

  • Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation.
  • Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis.
  • Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms.
  • Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results.

What You Will Learn

  • How to apply ML systems and flows to high-performance designs for industry-leading AI/ML architectures.
  • Practical experience in extending existing ML systems and implementing cutting-edge algorithms.
  • Gain exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis.
  • Experience collaborating with a group of highly experienced engineers across various domains of the ASIC implementation.

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
 
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.
 
Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject toU.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee informationand/or documentation will be required and considered as Tenstorrent moves through the employment process.
 
If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

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