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Summer Artificial Intelligence Machine Learning Jobs in Rochester, NY

Tompkins Community Bank

Applied AI Engineer

Batavia, NY · On-site

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Overview The Applied AI Engineer is responsible for identifying, developing, and implementing practical artificial intelligence, machine learning, and automation solutions that drive business value ...

Stellantis

Technology Manager

Hopewell, NY · On-site

Lead the implementation of artificial intelligence, machine learning, and robotic process automation initiatives to optimize warehouse operations. * Write high-quality product or system development ...

Deloitte

Lead AI and Data Science Engineer II

Rochester, NY · On-site

$101K - $133K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Aerotek

Machine Operator

West Henrietta, NY · On-site

$22 - $24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Operator We are seeking a skilled Machine Operator who will be responsible for operating ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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All JobsSummer Artificial Intelligence Machine Learning JobsSummer Artificial Intelligence Machine Learning Jobs in Rochester, NY

Summer Artificial Intelligence Machine Learning information

See Rochester, NY salary details

$25.2K

$42K

$86.8K

How much do summer artificial intelligence machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for summer artificial intelligence machine learning in Rochester, NY is $42,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What are popular job titles related to Summer Artificial Intelligence Machine Learning jobs in Rochester, NY?

For Summer Artificial Intelligence Machine Learning jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Summer Artificial Intelligence Machine Learning jobs in Rochester, NY look for?

The top searched job categories for Summer Artificial Intelligence Machine Learning jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Summer Artificial Intelligence Machine Learning jobs?

Cities near Rochester, NY with the most Summer Artificial Intelligence Machine Learning job openings:

Summer Artificial Intelligence Machine Learning jobs near you

Applied AI Engineer

Tompkins Community Bank

Batavia, NY • On-site

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Tompkins Community Bank rating

8.4

Company rating: 8.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

Overview
The Applied AI Engineer is responsible for identifying, developing, and implementing practical artificial intelligence, machine learning, and automation solutions that drive business value, improve operational efficiency, and enhance decision-making. This role partners across the organization to evaluate business opportunities, design and deploy production-ready solutions, integrate third-party AI technologies, and ensure AI systems are secure, scalable, compliant, and operationally sustainable. The position combines technical expertise, business acumen, and innovation to deliver measurable outcomes through AI-enabled transformation.
Responsibilities
  • AI Strategy and Business Value Delivery - Identify, prioritize, and implement high-impact AI and automation opportunities that drive measurable business outcomes, improve decision-making, and support organizational objectives.

  • AI Solution Development and Deployment - Design, build, test, and deploy scalable, production-ready AI solutions, including intelligent assistants, machine learning applications, and workflow automation tools.

  • Operational Efficiency and Process Optimization - Streamline business processes through automation and innovative technologies to increase productivity, reduce manual effort, and improve operational effectiveness.

  • AI Governance, Reliability, and Risk Management - Ensure AI solutions meet security, compliance, governance, monitoring, reliability, and operational readiness standards while supporting responsible AI practices.

AI Opportunity Identification and Solution Delivery
  • Identify, assess, prioritize, and deliver high-value AI and automation initiatives aligned with business objectives.

  • Partner with stakeholders to evaluate opportunities and determine appropriate AI-driven solutions.

  • Develop rapid prototypes and iterate solutions based on business feedback and operational needs.

AI Engineering and Automation Development
  • Design, develop, implement, and support AI-powered applications, intelligent assistants, and workflow automation solutions.

  • Build end-to-end solutions that improve business performance and operational efficiency.

  • Apply machine learning technologies, pre-trained models, and cloud-based AI services where appropriate.

Machine Learning Operations and Platform Management
  • Establish and maintain MLOps practices to support model lifecycle management.

  • Oversee model versioning, experiment tracking, testing, deployment, monitoring, drift detection, and retraining processes.

  • Support reliable and scalable production AI environments.

Governance, Security, and Operational Excellence
  • Ensure all AI solutions comply with governance, security, regulatory, reliability, and operational readiness requirements.

  • Implement monitoring and support processes that promote system stability and long-term performance.

  • Apply responsible AI and data governance principles throughout solution development and deployment.

Vendor Evaluation and Technology Integration
  • Evaluate, select, and implement third-party AI, machine learning, and software-as-a-service solutions.

  • Determine the most effective approach for solving business problems, balancing build, buy, and integration decisions.

  • Integrate vendor technologies into existing business processes, applications, and infrastructure.

Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, or a related field required.

  • Equivalent combination of education, professional certifications, and directly related experience may be considered.

  • Minimum of five (5) years of experience in software engineering, data science, applied artificial intelligence, machine learning, or a related technical discipline required.

  • Demonstrated proficiency in Python or a comparable programming language with strong experience integrating APIs and developing end-to-end technology solutions.

  • Experience developing, implementing, or supporting large language models (LLMs), workflow automation, and cloud-based AI/ML services.

  • Working knowledge of machine learning concepts, methodologies, and model deployment practices.

  • Ability to evaluate business requirements and determine the most effective approach, including custom development, third-party solutions, or integrated technology platforms.

  • Understanding of production support concepts including monitoring, performance optimization, reliability, and operational readiness.

  • Availability to participate in an on-call support rotation as required.

  • Experience working in enterprise, financial services, or other regulated environments preferred.

  • Experience with Azure, AWS, Google Cloud Platform, or comparable cloud technologies preferred.

  • Experience with machine learning platforms and tools such as Azure Machine Learning, MLflow, Databricks, SageMaker, Vertex AI, or similar technologies preferred.

  • Experience building and managing machine learning pipelines including data preparation, training, evaluation, deployment, monitoring, and retraining preferred.

  • Experience with AI development platforms and tools such as Microsoft Foundry, Azure OpenAI, Copilot Studio, or similar technologies preferred.

  • Practical experience implementing MLOps practices and supporting production AI environments preferred.

  • Knowledge of data governance, responsible AI principles, and AI risk management practices preferred.

  • Ability to travel periodically to company locations, meetings, training sessions, or business-related events, as needed.

Benefits
  • Medical
  • Dental
  • Vision
  • 401(k) Match
  • Profit Sharing
  • Paid Time Off
  • 11 Holidays
  • Tuition Reimbursement
  • Free Parking throughout Tompkins Community Bank
  • Employee Referrals

EEO Statement
Tompkins is committed to a policy of Equal Employment Opportunity ("EEO") with respect to all team members and applicants for employment and a work environment free from discrimination (including unlawful harassment) based on race, color, religion, sex, sexual orientation, transgender status, gender non-conformity, gender identity, gender expression, national origin, age, marital status, domestic violence victim status, disability, predisposing genetic characteristics, military or veteran status or status in any group protected by federal, state, or local law.
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Pay Range
USD $105,000.00 - USD $145,000.00 /Yr.

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