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Phd Machine Learning Jobs in Alabama (NOW HIRING)

Camgian

Senior AI Engineer

Huntsville, AL · On-site

$103K - $142K/yr

The role involves applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ... Master's or PhD in a computer science related discipline • Experience with developing and ...

First Horizon

Credit Model Developer

Birmingham, AL · On-site

PhD or Master's degree in Statistics, Econometrics, Mathematics or related quantitative field. A ... Knowledge of Git-based machine learning operations practices in the cloud (MLOps) * Working ...

Tuskegee University

Our Computer Science and Data Science programs are rapidly growing with the recent launched the PhD ... Cybersecurity, Al, machine learning, big data, data mining, statistical analysis, data engineering ...

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How much do phd machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for phd machine learning in Alabama is $20.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.08 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities in Alabama are hiring for Phd Machine Learning jobs? Cities in Alabama with the most Phd Machine Learning job openings:
Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 26% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $43,024 per year, or $20.7 per hour.
2026 PhD Graduate - Applied Algorithms Engineer

2026 PhD Graduate - Applied Algorithms Engineer

Johns Hopkins Applied Physics Laboratory

Huntsville, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 59 rated research

Job description

Description
Do you love developing creative solutions to challenging problems?
Are you passionate about using innovation and advanced technologies to solve to some of our country's critical challenges?
If so, we're looking for someone like you to join our team at APL!
We are seeking innovative and highly talented PhD Graduate candidates to join our group, which specializes in advanced research and program of record activities for rapid capability advancements. In particular, you will conduct systems analysis, identify gaps, and develop novel concepts to revolutionize defensive capabilities for the U.S.A. You will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning (AI/ML) techniques, object tracking and discrimination, data fusion concepts, etc. in support of a wide variety of defense systems. You will be joining a hardworking team of engineers and scientists who are passionate about developing high-impact solutions at the forefront of APL's mission to provide innovative solutions to critical challenges in the area of missile defense.
As a member of our team...
  • You will be located at the Sponsor site in Huntsville, AL with reach back to the technical team in Laurel, MD
  • You will conduct research and development activities related to U.S. Missile Defense systems.
  • You will assist in the development, testing, and analysis of new concepts related to sensing, engagement, and fire control.
  • You will implement algorithms and design modeling and simulation components of systems.
  • You will develop AI/ML-based concepts and technical solutions to solve challenging problems.
  • You will apply novel data fusion and tracking concepts for object tracking and discrimination applications.
  • You will analyze simulation outputs and translate results into clear insights for the research sponsor.
  • You will deliver presentations to technical staff, program leadership, and government sponsors.
  • You will develop prototype capabilities and work with partner organizations to transition ideas to fielded systems.

Qualifications
You meet the minimum requirements for the job if you...
  • Possess or will soon be a PhD in Math, Computer Science, Physics, Electrical Engineering or a related field.
  • Are detail-oriented with strong analytical and problem-solving skills.
  • Have familiarity with probabilistic algorithms and numerical methods
  • Have programming experience with MATLAB, C++, Python, or other high-level programming languages.
  • Are highly self-motivated to dig into data to root cause issues and to understand system performance.
  • Have the ability to work both independently and as part of a larger team, as well as effective collaboration skills with other teams and contractors.
  • Are able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship

You'll go above and beyond our minimum requirements if you...
  • Have knowledge, experience and interest in working with AI/ML technologies and MLOps practices.
  • Have domain knowledge of Navy, Missile Defense Agency, Space Force, or Air Force systems.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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