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Machine Learning Jobs in Syracuse, NY (NOW HIRING)

Use statistical and machine learning techniques to analyze and interpret data * Develop and maintain dashboards and reports to communicate insights to stakeholders. * Implement quality protocols and ...

Senior Software Product Manager

East Syracuse, NY · On-site

$119K - $157K/yr

Drive growth of existing products through innovative, differentiated capabilities - particularly those enabled by AI and machine learning. * Define and track product KPIs tied to customer outcomes ...

Drive growth of existing products through innovative, differentiated capabilities -- particularly those enabled by AI and machine learning. * Define and track product KPIs tied to customer outcomes ...

Senior Software Product Manager

East Syracuse, NY · On-site

$119K - $157K/yr

Drive growth of existing products through innovative, differentiated capabilities - particularly those enabled by AI and machine learning. * Define and track product KPIs tied to customer outcomes ...

... machine learning, and advanced control systems. A Hydroinformatics Engineer is a multidisciplinary engineer with optimization and hydraulic modeling skills and a passion for using data to improve ...

Experience delivering AI or machine learning solutions in construction, engineering, or industrial environments * Familiarity with tools such as BIM, project controls, scheduling, ERP, or EHS ...

Showing results 21-40

Machine Learning information

See Syracuse, NY salary details

$25.2K

$42.1K

$87K

How much do machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning in Syracuse, NY is $42,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Syracuse, NY? The most popular types of Machine Learning jobs in Syracuse, NY are:
What are popular job titles related to Machine Learning jobs in Syracuse, NY? For Machine Learning jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Syracuse, NY look for? The top searched job categories for Machine Learning jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Machine Learning jobs? Cities near Syracuse, NY with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Syracuse, NY as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,076 per year, or $20.2 per hour.

Postdoctoral Researcher - Theoretical Physics

Syracuse University

Syracuse, NY • On-site

$62K - $65K/yr

Full-time

Re-posted 11 days ago


Job description

Posting Details
Posting Details
Job #
078793
Job Title
Postdoctoral Researcher - Theoretical Physics
Location
Syracuse, NY
Campus
Syracuse, NY
Commitment to On-Campus Experience
Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus. Remote work arrangements are limited in accordance with University policy.
Pay Range
$62,400 - $65,000
Pay Determination
Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months' salary unless otherwise specified.
FLSA Status
Exempt
Hours
Determined by supervisor
Job Type
Full-time
Rank
Post Doc
Unionized Position Code
UA
Job Description
The J. M. Schwarz Theory Group develops theoretical and computational approaches for emergent phenomena in living and nonliving matter, including rigidity transitions, physical learning, collective cellular intelligence, multiscale mechanics from chromatin to tissues, and adaptation in active soft matter. For this postdoc position, the candidate will pursue several projects based on joint funding with Professors Alison Patteson and Jenny Ross, namely,
(1) uncovering the emergent, multiscale structure of cellular collectives, down to the chromatin scale, and how such systems adapt under high compression,
(2) determining how liquid-liquid phase separation forms, reorganizes, and potentially adapts, in nonequilibrium, enzymatically active environments.
Therefore, candidates with backgrounds in soft matter physics, statistical physics, biological physics, complex systems, machine learning for physical systems, applied mathematics, or related disciplines should apply.
Please see jmschwarztheorygroup.org for additional details about ongoing work in the group, including answering questions such as "Can sand learn?" and "How do cancer cell collectives learn to remodel their extracellular matrix to enable breakout?" There will also be opportunity for collaboration with other faculty, students, and postdocs in the Syracuse Soft and Biological Matter Group as well as additional national and international collaborators.
The position will begin preferably in September 2026, and has a duration of one year, with the possibility of renewal for a second year.
This position is part of a bargaining unit and is represented by the union SEIU, Local 200United.
Qualifications
  • PhD in Physics, or a related field, is required by the time of appointment as well as a background in soft matter physics, statistical physics, biological physics, complex systems, machine learning for physical systems, applied mathematics, or related disciplines.

Job Specific Qualifications
Not Applicable
Responsibilities
  • Investigate the emergent, multiscale structure of cellular collectives down to the chromatin scale, and how such systems adapt under high compression
  • Study how liquid-liquid phase separation forms, reorganizes, and potentially adapts in nonequilibrium, enzymatically active environments
  • Collaborate with Professors Alison Patteson and Jenny Ross as part of joint funding
  • Opportunity to collaborate with faculty, students, and postdocs in the Syracuse Soft and Biological Matter Group as well as national and international collaborators

Physical Requirements
Not Applicable
Tools/Equipment
Not Applicable
Application Instructions
Please include a cover letter, a CV, a reference list (that includes a list of at least three letter writers), and a brief description of your research interests.
About Syracuse University
Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience.
The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University's 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit http://www.syracuse.edu.
About the Syracuse area
Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal.
EEO Statement
Syracuse University is an equal-opportunity institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.
Commitment to Supporting and Hiring Veterans
Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University's contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members.
Commitment to a Respectful and Welcoming Community
Syracuse University fosters a welcoming learning environment where students, faculty, administrators, staff, curriculum, social activities, governance, and all aspects of campus life reflect a broad range of perspectives and experiences. The University community values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to engage with and appreciate the richness of backgrounds, beliefs, and experiences that shape our society. To achieve this, we strive to cultivate a community that respects and encourages open dialogue, understanding, and mutual respect.
Quick Link
https://www.sujobopps.com/postings/113338
Job Posting Date
06/11/2026
Application Deadline
Open Until Filled
Yes
Priority Consideration
Job Category
Union/Bargaining Unit
Message to Applicants