... Science, Information Technology, or related field; OR equivalent combination of education and ... Machine Learning models, • Algorithmic risk, • Vendor evaluation, • Or similar AI ...
... Science, Information Technology, or related field; OR equivalent combination of education and ... Machine Learning models, • Algorithmic risk, • Vendor evaluation, • Or similar AI ...
Senior and Applied/Agentic AI Engineer
$108K - $148K/yr
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 ...
Senior and Applied/Agentic AI Engineer
$108K - $148K/yr
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 ...
Senior and Applied/Agentic AI Engineer
Minto, AK · On-site
$108K - $148K/yr
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 ...
Senior and Applied/Agentic AI Engineer
Minto, AK · On-site
$108K - $148K/yr
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 ...
UI/UX Software Engineer - NREC
False Pass, AK · On-site
$95 - $125/hr
Co-Design Human-Machine Interfaces: Partner closely with robotics engineers, hardware teams, and ... S. in Computer Science, HCI, Design, or equivalent practical experience, with 1-3+ years of ...
New
UI/UX Software Engineer - NREC
False Pass, AK · On-site
$95 - $125/hr
Co-Design Human-Machine Interfaces: Partner closely with robotics engineers, hardware teams, and ... S. in Computer Science, HCI, Design, or equivalent practical experience, with 1-3+ years of ...
New
Scientific Machine Learning information
What is scientific machine learning?
Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.
What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?
To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.
What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?
Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.
What is the difference between Scientific Machine Learning vs Data Scientist?
| Aspect | Scientific Machine Learning | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in CS, ML, or related fields; knowledge of scientific computing | Degree in CS, statistics, or related fields; strong analytical skills |
| Work environment | Research labs, academia, industry R&D teams | Business analytics, tech companies, consulting firms |
| Industry usage | Research, scientific computing, engineering simulations | Business insights, predictive modeling, data analysis |
Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.
What are popular job titles related to Scientific Machine Learning jobs in Alaska?
For Scientific Machine Learning jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Alaska look for?
The top searched job categories for Scientific Machine Learning jobs in Alaska are:
Job description
Administrator of Artificial Intelligence
Hiring Range $129,376.00 to $176,800.00
Summary of Job Responsibilities:
The Southcentral Foundation (SCF) Administrator of Artificial Intelligence (AI) is responsible for providing oversight of SCF's AI use across the organization under the direction of the Director of Information Technology Services and working in partnership with the Medical Director of Clinical Informatics and Technology, Compliance and the IT leadership team. This role ensures that all AI technologies are reviewed prior to use, used responsibly and ethically, and monitored in alignment with established policies and procedures. The role is responsible for providing oversight of AI programs and ensures that risks are identified, assessed, monitored, and reported in alignment with SCF's Enterprise Risk Management Plan.
The role serves as a key leader in organization to navigate the rapidly evolving AI landscape and drive the effective use of emerging technologies while operationalizing their benefits and proactively mitigating and guarding against associated risks and potential harms.
Qualifications:
SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF's geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF's vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services:
1. Master's Degree in Computer Science, Information Technology, or related field; OR equivalent combination of education and experience.
2. Two (2) years of experience in at least one of the following:
• Technology governance,
• AI policy or ethics,
• Data privacy and compliance or,
• Enterprise risk management
3. Two (2) years of experience in AI domains in at least one of the following:
• Working with Machine Learning models,
• Algorithmic risk,
• Vendor evaluation,
• Or similar AI technologies
Native Preference
Under P.L. 93-638, as amended, the company pursues a policy of Native preference in hiring, contracting and training. SCF Human Resources must receive certification before applicants receive preference.
Employee Health Requirements
Compliance with our Employee Health Procedure is a condition of SCF employment. You are required to agree that you will comply with all job-related employee health screening and immunizations prior to your first day of employment. Jobs designated as a Health Care Personnel (HCP) position, requires that you have documentation that you have completed the following immunizations prior to your first day of employment: MMR (Measles, Mumps and Rubella, Varicella (Chicken Pox), Hepatitis B, Influenza, T-dap (Tetanus - Diphtheria - Pertussis).
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
Hiring Range $129,376.00 to $176,800.00
Summary of Job Responsibilities:
The Southcentral Foundation (SCF) Administrator of Artificial Intelligence (AI) is responsible for providing oversight of SCF's AI use across the organization under the direction of the Director of Information Technology Services and working in partnership with the Medical Director of Clinical Informatics and Technology, Compliance and the IT leadership team. This role ensures that all AI technologies are reviewed prior to use, used responsibly and ethically, and monitored in alignment with established policies and procedures. The role is responsible for providing oversight of AI programs and ensures that risks are identified, assessed, monitored, and reported in alignment with SCF's Enterprise Risk Management Plan.
The role serves as a key leader in organization to navigate the rapidly evolving AI landscape and drive the effective use of emerging technologies while operationalizing their benefits and proactively mitigating and guarding against associated risks and potential harms.
Qualifications:
SCF programs are established to serve a primary population comprised of Alaska Native people who are affiliated with Cook Inlet Region, Inc. (CIRI) and Alaska Native and American Indian people within SCF's geographical service area. Employees should have a thorough understanding of the cultures and the needs of this population. Such knowledge is critical to ensure the achievement of SCF's vision of a Native Community that enjoys physical, mental, emotional, and spiritual wellness, and mission of working together with the Native Community to achieve wellness through health and related services:
1. Master's Degree in Computer Science, Information Technology, or related field; OR equivalent combination of education and experience.
2. Two (2) years of experience in at least one of the following:
• Technology governance,
• AI policy or ethics,
• Data privacy and compliance or,
• Enterprise risk management
3. Two (2) years of experience in AI domains in at least one of the following:
• Working with Machine Learning models,
• Algorithmic risk,
• Vendor evaluation,
• Or similar AI technologies
Native Preference
Under P.L. 93-638, as amended, the company pursues a policy of Native preference in hiring, contracting and training. SCF Human Resources must receive certification before applicants receive preference.
Employee Health Requirements
Compliance with our Employee Health Procedure is a condition of SCF employment. You are required to agree that you will comply with all job-related employee health screening and immunizations prior to your first day of employment. Jobs designated as a Health Care Personnel (HCP) position, requires that you have documentation that you have completed the following immunizations prior to your first day of employment: MMR (Measles, Mumps and Rubella, Varicella (Chicken Pox), Hepatitis B, Influenza, T-dap (Tetanus - Diphtheria - Pertussis).
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
About SCF
Sourced by ZipRecruiter
Industry
Trucking
Company size
501 - 1,000 Employees
Headquarters location
Saint Louis, MO, US
Year founded
1999