1

Scientific Machine Learning Jobs in Ithaca, NY (NOW HIRING)

... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

Statics Tutor

Ithaca, NY · Remote

$18 - $40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Operate mechanical testing equipment such as universal testing machines, DMA analyzers, and ...

Test Technician, Staff

Lansing, NY · On-site

$19 - $21/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Operate mechanical testing equipment such as universal testing machines, DMA analyzers, and ...

Test Technician, Staff

Lansing, NY · On-site

$19 - $22/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Operate mechanical testing equipment such as universal testing machines, DMA analyzers, and ...

Test Technician, Staff

Lansing, NY · On-site

$19 - $22/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... Operate mechanical testing equipment such as universal testing machines, DMA analyzers, and ...

Showing results 21-30

Scientific Machine Learning information

See Ithaca, NY salary details

$13

$30

$50

How much do scientific machine learning jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for scientific machine learning in Ithaca, NY is $30.36, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $38.70 per hour, depending on experience, location, and employer.

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?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness 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 Ithaca, NY?

For Scientific Machine Learning jobs in Ithaca, NY, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Ithaca, NY look for?

The top searched job categories for Scientific Machine Learning jobs in Ithaca, NY are:

What cities near Ithaca, NY are hiring for Scientific Machine Learning jobs?

Cities near Ithaca, NY with the most Scientific Machine Learning job openings:

Infographic showing various Scientific Machine Learning job openings in Ithaca, NY as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,142 per year, or $30.4 per hour.

Research & Instructional Team Manager

Cornell University

Ithaca, NY • On-site

Full-time

Medical, Retirement

Posted 8 days ago


Job description

Research & Instructional Team Manager [Onsite]
No Visa Sponsorship is available for this position.
This position is 100% on-site and located on the Cornell University Campus in Ithaca, New York.
The Opportunity
The TBE IT Research & Instructional (RIS) Manager leads a cross-campus team of system administrators who support instructional systems, research computing, and Artificial Intelligence/Machine Learning initiatives across Cornell Bowers, Cornell Duffield Engineering, and Cornell Tech. Working in close partnership with the Senior IT Director of TBE IT, this role owns the roadmap, capacity planning, and operations for research and teaching compute platforms-including the Unicorn cluster-while setting standards and priorities that align technical investments with faculty and instructional needs across three schools in two geographic locations.
The RIS team is part of the Cornell Bowers, Duffield, and Tech IT Service Group (TBE IT), which provides comprehensive IT support-including end-user support, instructional technology, research computing, networking, applications and reporting, cybersecurity guidance, and AV services-to a community of nearly 10,000 faculty, staff, and students, in close collaboration with the broader Cornell IT community.
While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.
Required Qualifications:
  • Bachelor's Degree, 5 years to 7 years or equivalent combination of education and experience installing, configuring, and maintaining workstations and servers (Linux, Windows Environment) in a large, multi-vendor environment.
  • Experience with High-Performance Computing clusters utilizing advanced Graphic Processor Units (GPU's) and CPU computing.
  • Artificial Intelligence infrastructure experience.
  • Computer networks, network services, and distributed computing, particularly with TCP/IP, Ethernet.
  • Demonstrated ability to independently organize, develop, and implement major projects atthe level of the college-wide integrated service environment.
  • Highly developed planning and organizational skills are essential.
  • The ability to work with and provide solutions for graduate level researchers in the college is essential.

Preferred Qualifications:
  • Bachelor's degree in computer science, Information Technology, Engineering, or related field, or equivalent combination of education and experience.
  • 15+ years of experience managing or leading technical teams, preferably in a higher education, research, or HPC environment.
  • Demonstrated experience with Linux system administration at scale, including cluster computing environments.
  • Experience supporting HPC or GPU-based computing infrastructure, Familiarity with AI/ML workflows and the infrastructure needs of AI/ML and scientific computing research.
  • Experience with capacity planning, lifecycle and fleet management of large cluster/desktop/VDI environments, automated tools and roadmap development for research computing platforms.
  • Strong understanding of LDAP/AD, authentication systems, and account provisioning in complex, multi-platform environments.
  • Experience setting and managing SLAs, technical standards, and IT governance policies.
  • Excellent communication skills, with experience translating technical needs into faculty- and researcher-facing solutions.
  • Experience with budgeting, vendor management, and technology procurement for research infrastructure.
  • Familiarity with change management practices and ITIL or similar service management frameworks.
  • Experience in higher education IT environments, particularly supporting engineering, scientific, or research computing needs.
  • Project management experience, including managing complex, multi-stakeholder technical initiatives.

Application Information:
  • A resume is required for further consideration for this position. A cover letter expressing alignment with Cornell's mission and this role is strongly encouraged. When applying through our system, please remember to attach your application materials (Cover Letter and Resume) in PDF format.
  • No Visa Sponsorship of any kind is available for this position.
  • Relocation assistance may be available for this position.

Rewards and Benefits
  • This position is 100% on-premises and located on the Cornell University Campus in Ithaca, New York.
  • Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell.
  • Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell
  • Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell
  • Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell.

University Job Title:
Info Tech Area Mgr II
Job Family:
Information Technology
Level:
G
Pay Rate Type:
Salary
Pay Range:
$110,656.00 - $135,246.00
Remote Option Availability:
Onsite
Company:
Endowed
Contact Name:
Maria Avila
Contact Email:
mia28@cornell.edu
Job Titles and Pay Ranges:
Non-Union Positions
Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:
  • Prior relevant work or industry experience
  • Education level to the extent education is relevant to the position
  • Unique applicable skills
  • Academic Discipline

To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator.
Union Positions
The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates.
Current Employees:
If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell.
Online Submission Guidelines:
Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by "dragging and dropping" them into the dropbox or by using the "upload" icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website.
Employment Assistance:
For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.
If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu.
Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.
Notice to Applicants:
Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.
EEO Statement:
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
2026-08-19