1

Phd Artificial Intelligence Jobs in Spring, TX (NOW HIRING)

... PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially ... artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling ...

PhD or equivalent experience research experience is highly preferred. Technical Expertise * Solid understanding of Artificial Intelligence and Machine Learning, including: * Machine Learning * Deep ...

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially ... artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling ...

... PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially ... artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling ...

Showing results 41-60

Phd Artificial Intelligence information

What is a PhD in artificial intelligence?

A PhD in Artificial Intelligence is an advanced academic degree focused on original research in AI topics such as machine learning, natural language processing, robotics, and computer vision. Students pursuing this degree typically conduct in-depth research, publish scholarly articles, and develop new algorithms or AI systems. The program prepares graduates for careers in academia, industry research labs, or leadership roles in technology companies. Completing a PhD in AI generally takes several years and culminates in a dissertation that contributes new knowledge to the field.

What are the key skills and qualifications needed to thrive as a PhD in artificial intelligence?

To thrive as a PhD in Artificial Intelligence, you need advanced knowledge in machine learning, deep learning, statistics, and programming, supported by a doctoral degree in computer science or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience in research methodologies, and familiarity with large datasets are typically required. Strong analytical thinking, creativity, and effective communication skills distinguish successful AI researchers and professionals. These skills are crucial for driving innovation, publishing high-impact research, and collaborating effectively within multidisciplinary teams.

What are some typical career paths and advancement opportunities for professionals with a PhD in artificial intelligence?

Professionals with a PhD in Artificial Intelligence often have diverse career paths, including roles in academia, research labs, or industry-leading tech companies. Many start as research scientists or AI specialists, working on advanced machine learning projects, and can progress to lead research teams or assume managerial positions overseeing AI-driven initiatives. Additionally, some choose to become professors or principal investigators, contributing to academic research and mentoring graduate students. The rapid growth of AI means there are also opportunities to transition into product development, consulting, or even launching AI-focused startups.

What is the difference between Phd Artificial Intelligence vs Data Scientist?

AspectPhd Artificial IntelligenceData Scientist
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Employer & Industry UsageResearch institutions, universities, AI-focused companiesCorporate, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding advanced research roles in AIData analysis, modeling, and insights in industry

While a Phd in Artificial Intelligence emphasizes research, development, and theoretical understanding of AI systems, a Data Scientist focuses on analyzing data, building predictive models, and deriving actionable insights for businesses. Both roles require strong technical skills, but their primary applications and work environments differ significantly.

Is a PhD in artificial intelligence worth it?

A PhD in artificial intelligence can lead to advanced research, academic positions, and specialized roles in industry such as AI scientist or machine learning engineer. It typically requires strong programming skills, knowledge of algorithms, and familiarity with tools like Python and TensorFlow, and can significantly increase earning potential and job opportunities in AI-focused fields.

What can you do with a PhD in Artificial Intelligence?

A PhD in Artificial Intelligence prepares individuals for advanced research, development, and leadership roles in academia, industry, or government. Graduates often work as AI researchers, data scientists, machine learning engineers, or AI consultants, utilizing skills in programming, data analysis, and algorithm development to solve complex problems. They may also contribute to innovation in areas like robotics, natural language processing, and computer vision.

What is the salary of a PhD in artificial intelligence?

A PhD in artificial intelligence typically earns between $100,000 and $150,000 annually in industry roles, depending on experience, location, and the specific employer. Academic positions may offer lower salaries but often include research funding and teaching responsibilities.

What job categories do people searching Phd Artificial Intelligence jobs in Spring, TX look for?

The top searched job categories for Phd Artificial Intelligence jobs in Spring, TX are:

What cities near Spring, TX are hiring for Phd Artificial Intelligence jobs?

Cities near Spring, TX with the most Phd Artificial Intelligence job openings:

Infographic showing various Phd Artificial Intelligence job openings in Spring, TX as of August 2026, with employment types broken down into 11% Internship, 76% Full Time, and 13% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Software Engineer, Data Infrastructure & Acquisition - Houston, TX, USA

Speechify

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 14 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.