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Entry Level Ai Computer Science Jobs in Rochester, NY

Job Type Full-time Description AI Labs & the Team AI Labs is Paylocity's team for rapid AI experimentation - we test and validate new AI-driven ideas quickly, with a bias toward hands-on building

Description: AI Labs & the Team AI Labs is Paylocity's team for rapid AI experimentation -- we test and validate new AI-driven ideas quickly, with a bias toward hands-on building over long planning

Showing results 21-40

Entry Level Ai Computer Science information

See Rochester, NY salary details

$29.1K

$98.9K

$238.3K

How much do entry level ai computer science jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level ai computer science in Rochester, NY is $98,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $104,600.00 per year, depending on experience, location, and employer.

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Ai Computer Science jobs in Rochester, NY?

The most popular types of Ai Computer Science jobs in Rochester, NY are:

What are popular job titles related to Entry Level Ai Computer Science jobs in Rochester, NY?

For Entry Level Ai Computer Science jobs in Rochester, NY, the most frequently searched job titles are:

What cities near Rochester, NY are hiring for Entry Level Ai Computer Science jobs?

Cities near Rochester, NY with the most Entry Level Ai Computer Science job openings:

Infographic showing various Entry Level Ai Computer Science job openings in Rochester, NY as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $98,929 per year, or $47.6 per hour.

Data Scientist - Analytics as a Service

Fairport, NY • On-site

Qualitrol
Utilities • 201 - 500 employees

Other

Posted 22 days ago


Key responsibilities

  • Develop advanced analytics, machine learning models, and AI algorithms for Qualitrol's Analytics as a Service portfolio.

  • Partner with Product Engineers to deploy models into production, monitor performance, and improve inference accuracy.

  • Collaborate with Product Owner and Customer Success to understand customer use cases and improve algorithms based on feedback.


Job description

Fairport, NY, United StatesData Scientist – Analytics as a ServicePosition SummaryThe Senior Data Scientist is responsible for developing the advanced analytics, machine learning models and AI algorithms that power Qualitrol's Analytics as a Service portfolio. Working closely with the Product Owner, Product Engineers and Data Engineer, this individual transforms industrial data into scalable analytics services that deliver measurable customer value.Unlike a traditional research-oriented data science role, this position is expected to rapidly move algorithms from experimentation into production, continuously improving model performance through customer feedback, operational data and AI-assisted development practices. Success requires balancing scientific rigor with startup execution speed.Primary ResponsibilitiesAnalytics & Model DevelopmentDevelop advanced analytics for:Rotating machine condition monitoringGrid monitoringPredictive maintenanceFault detectionAnomaly detectionAsset health assessmentFailure predictionFleet benchmarkingDesign algorithms that are accurate, explainable and production-ready.Data Mining & Feature EngineeringExtract insights from:Sensor dataTime-series dataEvent logsOperational historyMaintenance recordsCustomer operating conditionsDevelop robust feature engineering pipelines to improve model accuracy and scalability.AI & Machine LearningDevelop and optimize:Machine learning modelsStatistical modelsGenerative AI applicationsLarge Language Model integrationsPredictive analyticsRecommendation enginesLeverage AI-assisted tools to accelerate experimentation, model development and validation.Production DeploymentPartner with Product Engineers to:Deploy models into productionMonitor model performanceImprove inference accuracyReduce computational costsContinuously retrain modelsEnsure analytics are scalable, reliable and maintainable.Customer Value CreationPartner with Product Owner and Customer Success to understand customer use cases and translate them into differentiated analytics capabilities.Use customer feedback and operational data to continuously improve algorithms and business outcomes.Required ExperienceMaster's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics or related field5+ years developing machine learning or industrial analytics solutionsStrong Python programming experienceExperience with cloud-based ML environmentsExperience deploying production AI modelsStrong statistical and analytical skillsPreferred ExperienceExperience with:Industrial AIUtilitiesRotating machineryPower systemsTime-series analyticsAzure Machine LearningAWS SageMakerMLOpsLLMs and Generative AISuccess MeasuresWithin 12 months:Multiple production analytics models deployedMeasurable improvement in prediction accuracyRepeatable MLOps pipeline establishedAnalytics capabilities contributing to customer adoptionContinuous model improvement process operational#LI-PW1Ralliant Corporation OverviewRalliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life — faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we're building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.About QualitrolQUALITROL manufactures monitoring and protection devices for high value electrical assets and OEM manufacturing companies. Established in 1945, QUALITROL produces thousands of different types of products on demand and customized to meet our individual customers’ needs. We are the largest and most trusted global leader for partial discharge monitoring, asset protection equipment and information products across power generation, transmission, and distribution. At Qualitrol, we are redefining condition-based monitoring.We Are an Equal Opportunity Employer. Ralliant Corporation and all Ralliant Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Ralliant and all Ralliant Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@Ralliant.com.Pay RangeThe salary range for this position (in local currency) is 104300.00-193700.00 #J-18808-Ljbffr