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Geometric Deep Learning Jobs in Columbus, OH (NOW HIRING)

Math 1 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Geometry Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Math 3 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of polynomial and rational functions, logarithmic and exponential modeling ...

HSPT Math Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of HSPT Mathematics section content including arithmetic, algebra, geometry ...

Math 2 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of quadratic functions and equations, similarity and right triangle trigonometry ...

Algebra 2 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of advanced functions including exponential, logarithmic, rational, and radical ...

Calculus 3 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of multivariable functions, partial derivatives, gradients, directional derivatives ...

Linear Algebra Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of vector spaces, linear transformations, matrix operations, determinants ...

Deep knowledge of number sense, place value, addition, subtraction, multiplication, division, basic ... basic geometric reasoning, and measurement conversions. Emphasizes discovery-based learning and ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of integers, fractions, decimals, percentages, ratios and proportions, order of ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of ISEE Upper Level sections including Verbal Reasoning, Quantitative Reasoning ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of partial derivatives, gradients, directional derivatives, multiple integrals ...

Deep knowledge of number theory, combinatorics, modular arithmetic, geometric proofs, algebraic ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Probability Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ...

AP Physics 2 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of fluid mechanics, thermodynamics, electric force and fields, electric circuits ...

Physics 2 Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of fluid mechanics, thermodynamics, electricity and magnetism, electromagnetic waves ...

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Geometric Deep Learning information

See Columbus, OH salary details

$10.6K

$81K

$135.2K

How much do geometric deep learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for geometric deep learning in Columbus, OH is $81,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $134,300.00 per year, depending on experience, location, and employer.

What is the difference between Geometric Deep Learning vs Data Scientist?

AspectGeometric Deep LearningData Scientist
Required CredentialsAdvanced degrees in computer science, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness analytics, product teams, consulting firms
Industry UsageAI, robotics, computer vision, graph analysisBusiness intelligence, marketing, finance, healthcare

Geometric Deep Learning focuses on applying deep learning techniques to non-Euclidean data like graphs and manifolds, often requiring advanced technical skills. Data Scientists analyze and interpret data to inform business decisions, typically working with structured data and statistical tools. While both roles involve data analysis, Geometric Deep Learning is more research-oriented and specialized in AI development, whereas Data Scientists focus on practical data insights across industries.

What are some common challenges faced when working on geometric deep learning projects, and how can they be addressed?

One common challenge in Geometric Deep Learning is dealing with the complexity and diversity of data structures, such as graphs, point clouds, or manifolds. These data types often require specialized neural network architectures and custom preprocessing steps, which can be more complex than traditional deep learning tasks. Collaboration with domain experts and staying updated with the latest research are crucial for overcoming these obstacles. Additionally, debugging and visualizing the learning process can be more challenging, so employing robust evaluation metrics and visualization tools is highly recommended.

What are the key skills and qualifications needed to thrive as a geometric deep learning engineer?

To excel as a Geometric Deep Learning Engineer, you need a strong background in mathematics, machine learning, and computer science, typically supported by an advanced degree in a related field. Proficiency with deep learning frameworks like PyTorch or TensorFlow, as well as experience with graph neural networks (GNNs) and geometric data structures, is essential. Strong analytical thinking, problem-solving abilities, and collaborative communication are key soft skills for innovating and working with interdisciplinary teams. These skills are crucial for developing cutting-edge models that leverage geometric data, enabling impactful solutions across domains such as computer vision, biology, and social network analysis.

What are popular job titles related to Geometric Deep Learning jobs in Columbus, OH?

For Geometric Deep Learning jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Geometric Deep Learning jobs in Columbus, OH look for?

The top searched job categories for Geometric Deep Learning jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Geometric Deep Learning jobs?

Cities near Columbus, OH with the most Geometric Deep Learning job openings:

Applied AI/ML Modeling - Vice President

J.P. Morgan

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 9 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness.

As an Applied AI Modeling Vice President in Branch Network Modeling team, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase's branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.

Job responsibilities

  • Develop and launch AI and ML models that solve complex, ambiguous business problems in Consumer Banking, spanning areas such as retail network optimization, investment optimization, resource allocation, and sales effectiveness. 
  • Lead modeling engagements end-to-end, including interfacing with business, governance, UX, and technology stakeholders; articulating clear business use cases; delivering on project plans; and working with large, complex datasets - including geospatial, demographic, transactional, and behavioral data - to formulate testable business hypotheses. 
  • Translate technical model outputs into clear, actionable recommendations for non-technical business partners in Real Estate, Finance, and Market Strategy. 
  • Partner with governance teams to expedite fair and thorough model reviews, track performance metrics, and maintain adherence to regulatory compliance standards. 

Required qualifications, capabilities, and skills

  • Advanced degree (master's or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.
  • 4+ years of hands-on, relevant industry experience in developing and deploying AI/ML models, including statistical modeling, ML, reinforcement learning, or optimization algorithms. 
  • Proficient in Python with hands-on experience in ML and deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab and cloud computing. 
  • Deep expertise in at least one of the following, with meaningful exposure to at least one other: 
    • Geospatial analytics, spatial statistics, or spatial optimization 
    • Graph neural networks, network science, or graph-based optimization 
    • Reinforcement learning, multi-armed bandits, or online/continuous learning 
    • Behavioral modeling, adaptive intervention design, or human performance optimization 

Preferred qualifications, capabilities, and skills

  • Hold a PhD in a relevant discipline.
  • Experience developing advanced AI or ML models in consumer finance, logistics, major retailers, or AI-native platforms. 
  • Experience with at least one of the following: geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS, Carto, Wherobots, QGIS), graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX), RL libraries (e.g., RLlib, Stable Baselines, Vowpal Wabbit). 
  • Familiarity with behavioral science concepts (e.g., nudge theory, decision theory) or experience building adaptive, continuous learning, or recommendation systems. 
  • Experience with Databricks, Snowflake, or similar platforms. 

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.