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Artificial Intelligence And Machine Learning Jobs in Alaska

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems ...

Physical Therapist

Fairbanks, AK · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning opportunities. You will help maximize the physical readiness and long-term health of ... Email: [email protected] $105,000 - $115,000 a year We may use artificial intelligence (AI) tools ...

Physical Therapist

Fairbanks, AK · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning opportunities. You will help maximize the physical readiness and long-term health of ... Email: [email protected] $105,000 - $115,000 a year We may use artificial intelligence (AI) tools ...

Physical Therapist

Fairbanks, AK · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning opportunities. You will help maximize the physical readiness and long-term health of ... Email: [email protected] $105,000 - $115,000 a year We may use artificial intelligence (AI) tools ...

Warehouse Associate

Fairbanks, AK · On-site

$22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

For those who want to keep growing, learning, and evolving. We at Kelly ® hear you, and we're here ... Artificial Intelligence Notice.

Showing results 21-40

Artificial Intelligence And Machine Learning information

See Alaska salary details

$15

$28

$52

How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for artificial intelligence and machine learning in Alaska is $28.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $30.05 per hour, depending on experience, location, and employer.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
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What cities in Alaska are hiring for Artificial Intelligence And Machine Learning jobs? Cities in Alaska with the most Artificial Intelligence And Machine Learning job openings:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Alaska as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,020 per year, or $28.4 per hour.

Full-Time Tenure Track Faculty Member

6AM City

False Pass, AK • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Description The Department of Biomedical Engineering at Carnegie Mellon University (CMU) invites applications for full‐time tenure‐track faculty positions. The department offers an interdisciplinary research and education program housed within a top‐ranked College of Engineering. Innovation, interdisciplinary collaboration, and problem solving reflect the spirit of Carnegie Mellon. We look forward to you joining us to make an impact on the future of medicine through interdisciplinary engineering innovation. Our faculty members benefit from a strong university‐wide collaborative culture, generous research support, modest teaching loads, outstanding students, and comprehensive benefits. Initiated in the 1960's, Biomedical Engineering at CMU has a rich history of research, innovation, and clinical application. Exceptional opportunities for interdisciplinary collaborations with other engineering departments, and departments outside of engineering such as computer science, biology, neuroscience, machine learning, robotics, and clinicians at major medical centers in greater Pittsburgh and the Mayo Clinic. To learn more about the department, please visit our website at https://www.cmu.edu/bme/. We welcome applications from outstanding candidates with expertise in either immunoengineering or biomedical artificial intelligence. Appointments will generally be made at the assistant professor level, but exceptional candidates at a more advanced level will also be considered. Applicants must have a Ph.D. in biomedical engineering or a related field and demonstrate evidence of excellence in research and dedication to teaching and mentoring. Successful candidates will be expected to develop an internationally recognized, externally funded, and highly collaborative research program and provide excellent classroom instruction and supportive student mentoring. Carnegie Mellon values interdisciplinary collaboration, and thus we welcome applicants with an interest in a joint position with another department across the College of Engineering. Qualifications Applicants must have a Ph.D. in biomedical engineering or a related field and demonstrate evidence of excellence in research and dedication to teaching and mentoring. Application Instructions letter of application complete curriculum vitae statement of research plan (2 pages) statement of teaching interests (2 pages) statement describing the candidate's past and potential future contributions to professional service, particularly in STEM fields You should also request 3‐5 professional references through the confidential letter request function in the Interfolio system. You may wish to send an email to each of your letter writers to alert them that they will receive an automated email from Interfolio requesting that they upload their letter of recommendation (sometimes the automated Interfolio emails are mistaken for spam). Review of applications will begin immediately and all applications received by November 16th, 2025 will be given full consideration. The positions will be open until filled. Equal Employment Opportunity Statement Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders. #J-18808-Ljbffr