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Internship Edge Ai Machine Learning Jobs in Rochester, NY

CaterTrax, Inc.

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent. * Agent orchestration frameworks, function/tool calling ...

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 ...

CaterTrax

Senior Agentic AI Engineer

Rochester, NY

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent. * Agent orchestration frameworks, function/tool calling ...

D3 Engineering, LLC

Engineering Program Manager

West Henrietta, NY · On-site

$101K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer ... Experience with edge AI (accelerators, integration, model conversions, deployment, profiling, etc.

D3 Embedded

Engineering Program Manager

West Henrietta, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer ... Experience with edge AI (accelerators, integration, model conversions, deployment, profiling, etc ...

D3 Engineering

Engineering Program Manager

Rochester, NY · On-site

$101.10 - $146.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer ... Experience with edge AI (accelerators, integration, model conversions, deployment, profiling, etc.

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Work with cross-functional teams to incorporate AI into various applications ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation ...

Pwc

US Tech - AI Engineering Senior Associate

Rochester, NY · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... The Opportunity As part of the People Tech & AI team you will develop, test, and validate ...

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Internship Edge Ai Machine Learning information

See Rochester, NY salary details

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How much do internship edge ai machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for internship edge ai 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 an internship edge AI machine learning?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What types of projects can I expect to work on during an internship in edge AI and machine learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.

What are the key skills and qualifications needed to thrive as an internship edge AI machine learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Internship Edge Ai Machine Learning jobs in Rochester, NY?

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Internship Edge Ai Machine Learning jobs near you

Senior Agentic AI Engineer

CaterTrax, Inc.

Rochester, NY • On-site

$103K - $141K/yr

Full-time

Posted 14 days ago

Job description

Hungry, humble and smart? If you have these qualities, we want you on the team.
Job Summary:
The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the safe, secure rollout of AI agents across CaterTrax® constituent surfaces.
Reporting to the Director, Enterprise Architecture as a member of the Data Layer group, this engineer manages the CDL schema, the agent registry, and the policy engine that governs which agents can access which data under which conditions, and instruments the data flywheel that returns outcomes from agent actions back into the layer.
The role partners with the Director of Strategic Solutions on Brief-to-agent translation, with the Director, Product and Solutions on engineering intake, with platform engineering on runtime, and with Finance on data flywheel ROI metrics. Without this role, agents would be built ad hoc across teams with no shared governance; this seat ensures they are not.
Job Description:
ESSENTIAL DUTIES AND RESPONSIBILITIES
CONSTITUENT DATA LAYER OWNERSHIP
  • Manage the Constituent Data Layer schema, including versioning, integrity, and evolution as constituent surfaces expand.
  • Own the agent registry: the authoritative record of every agent operating across CaterTrax surfaces.
  • Build and operate the policy engine governing which agents can access which data under which conditions.
  • Establish and maintain shared governance so agents are built on the CDL rather than ad hoc across teams.

AGENT DEVELOPMENT & SAFE ROLLOUT
  • Design, build, and deploy AI agents across constituent surfaces on the shared platform substrate.
  • Implement guardrails, evaluation harnesses, and monitoring for agent behavior in production.
  • Define and operate the rollout process for new agents, including staged release, human oversight, and rollback.
  • Lead incident response for agent behavior issues, including root-cause analysis and remediation.

DATA FLYWHEEL & MEASUREMENT
  • Instrument the data flywheel that returns outcomes from agent actions back into the Constituent Data Layer.
  • Partner with Finance to define and report data flywheel ROI metrics.
  • Ensure agent telemetry supports both product improvement and executive decision-making.

CROSS-FUNCTIONAL PARTNERSHIP
  • Partner with the Director of Strategic Solutions on Brief-to-agent translation, converting constituent problem framing into agent designs.
  • Partner with the Director, Product and Solutions on engineering intake and sequencing.
  • Partner with platform engineering on agent runtime, deployment, and operational readiness.

ENGINEERING EXCELLENCE
  • Uphold engineering standards, code review practices, and documentation quality across all Data Layer work.
  • Embed security and privacy by design into every agent and data-layer decision.

QUALIFICATIONS AND EXPERIENCE INCLUDES
EDUCATION
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required.
Master's degree preferred.
EXPERIENCE
Required:
  • 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production.
  • Hands-on experience with retrieval-augmented generation (RAG), vector databases, and prompt/agent design patterns.
  • Strong data modeling and API design skills, including schema governance in a shared-platform context.
  • Experience implementing evaluation, monitoring, and guardrails for AI systems in production.
  • Proficiency in Python and/or a modern backend language used in production services.

Preferred:
  • Experience with agent orchestration frameworks, agent registries, or policy/authorization engines.
  • Experience in foodservice technology, hospitality tech, or B2B SaaS platforms.
  • Familiarity with responsible AI practices, AI governance frameworks, and data privacy regulations.

SKILLS AND COMPETENCY REQUIREMENTS
  • Ownership: Treats the Constituent Data Layer as a product with constituents, not a project with tasks.
  • Safety mindset: Designs for what agents must never do before optimizing what they can do.
  • Pragmatic shipping: Delivers working, governed capability iteratively rather than perfect systems slowly.
  • Cross-functional translation: Moves fluently between constituent problem language and engineering design.
  • Documentation discipline: Leaves every schema, agent, and policy legible to the next engineer.
  • Curiosity: Tracks the rapidly evolving agentic AI landscape and applies it judiciously.

TECHNOLOGY SKILLS
The Senior Agentic AI Engineer is expected to bring deep hands-on proficiency across the following technology domains.
AI & MACHINE LEARNING PLATFORMS
  • Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent.
  • Agent orchestration frameworks, function/tool calling, and multi-agent patterns.
  • Retrieval-augmented generation (RAG) architecture and vector database platforms.
  • AI ops tooling for model monitoring, versioning, drift detection, and deployment pipelines.

CLOUD & INFRASTRUCTURE
  • Cloud platforms: proficiency in Microsoft Azure, with fluency across AWS and Google Cloud.
  • Containerization and orchestration: Docker and Kubernetes.
  • Serverless and event-driven architecture patterns.

DATA & ANALYTICS
  • SQL, relational, and vector databases.
  • Data pipeline and transformation tooling.
  • Schema design, data contracts, and data governance practices.

SOFTWARE ENGINEERING & DEVOPS
  • Source control and collaboration: Git, GitHub, or GitLab, including PR workflows and code review practices.
  • CI/CD pipeline platforms: GitHub, Azure DevOps.
  • API design and management; identity and access patterns (OAuth 2.0, SSO/SAML).
  • Agile and project management tooling: Jira, Confluence (Atlassian suite experience preferred).

PRODUCTIVITY & COLLABORATION
  • Microsoft 365 suite: Teams, SharePoint, Excel, and PowerPoint.
  • AI productivity tools: Microsoft Copilot, Anthropic Claude, or similar for personal and team enablement.

COMPENSATION
Salary range: $140,000 - $170,000, dependent upon experience
PHYSICAL DEMANDS
While performing the duties of this job, the employee is regularly required to sit; use hands to operate a computer, copier, fax or other office equipment. The employee must occasionally lift and/or move up to 15 pounds.
WORK ENVIRONMENT
Assumes a hybrid work environment located in Rochester, New York.
While performing the duties of this job, the noise level in the work environment is usually quiet to moderate.
TRAVEL
Up to 10%, Domestic (as required)
Worker Type:
Regular
Number of Openings Available:
1
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