1

Machine Learning Engineer New Grad Jobs in Albany, NY

This role applies statistical, machine learning, and data analysis techniques to insurance data to ... Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)

Senior Principal Digital Engineer

Schenectady, NY · On-site

$121K - $167K/yr

... NY OR the West Mifflin PA area. This role will focus on implementing cutting-edge MBSE processes ... Machine Learning (AI/ML) methodologies, and modernizing engineering and operational processes ...

Machine Learning or AI model development experience. * Experience with Looker reporting and LookML ... Ability to adapt quickly to new technologies and evolving project requirements.

Perform machine and deep learning models: neural network model, text classification using LSTM and ... Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of ...

Carrier Voice Engineer

Albany, NY · On-site

$75K - $95K/yr

Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat ... FirstLight, headquartered in Albany, New York, provides fiber-optic data, Internet, data center ...

Sr Data Scientist

Albany, NY · On-site

$89.25 - $120.75/hr

... developers and product managers within the business to deliver new and exciting products and services. Your main objective is to leverage advanced analytics and machine learning techniques to deeply ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Albany, NY salary details

$31.3K

$127.9K

$192.1K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer new grad in Albany, NY is $127,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Albany, NY? For Machine Learning Engineer New Grad jobs in Albany, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Albany, NY look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Albany, NY are:
What cities near Albany, NY are hiring for Machine Learning Engineer New Grad jobs? Cities near Albany, NY with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Albany, NY as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $127,851 per year, or $61.5 per hour.

Senior Data Analyst

University of Pennsylvania

Schenectady, NY • On-site

$84K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

158th of 617 rated colleges and universities


Job description

University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

Posted Job Title

Senior Data Analyst

Job Profile Title

Data Analyst Senior

Job Description Summary

The Senior Data Analyst leads data engineering and data science projects within the lab, turning complex biomedical datasets into robust pipelines, rigorous analyses, and actionable scientific insight. Working closely with the Principal Investigator and research team, this position designs and builds data workflows, develops and applies statistical and machine-learning methods, and ensures the integrity, reproducibility, and quality of the lab's analytical work.
This role requires domain expertise in biomedical informatics, AI/machine learning, or a closely related field, with a focus on immune health and/or high-dimensional omics data (e.g., genomics, transcriptomics, proteomics, single-cell, or multi-omics).
This is a senior staff position that operates with significant independence and scientific judgment, and may provide technical mentorship to junior analysts and trainees.
This position is contingent upon continued funding.

Job Description

Job Responsibilities

  • Data engineering: design, build, and maintain reproducible data pipelines and workflows for ingesting, cleaning, integrating, and transforming large-scale omics and biomedical datasets.
  • Data science & analysis: develop and apply statistical, machine-learning, and AI methods to derive insight from immune-health and omics data; lead analyses from question formulation through interpretation.
  • Project leadership: lead assigned data engineering and data science projects end to end-scoping, planning, and delivering results-while coordinating with the PI and collaborators on priorities and timelines.
  • Communication & reporting: produce clear analyses, visualizations, and documentation; contribute to manuscripts, grant applications, and presentations; and communicate findings to technical and non-technical audiences.
  • Rigor, reproducibility & mentorship: uphold standards for code quality, version control, and reproducible research; maintain documentation; and provide technical guidance to junior analysts and trainees.
  • Other duties and responsibilities as assigned

Qualifications

Bachelor's degree in Computer Science, Biomedical Informatics, Health Information Systems, or Technology Management and 4 to 6 years of experience or equivalent combination of education and experience is required. Master's degree preferred.

  • 7+ years of computer programming experience preferred
  • Significant experience with Java/Scala or Golang required
  • Significant experience with Functional Programming required
  • Significant experience with Clinical Software Platform Development Required
  • SaaS industry experience a plus
  • Experience with AWS infrastructure, serverless and containerized SaaS required
  • Experience with SQL and databases required
  • Experience with graph databases, Python a plus
  • Experience with Linux, Windows, Mac OS operating systems
  • Ability to work independently and apply critical thinking and sound judgment
  • Excellent organizational and time management skills
  • Ability to communicate effectively with team members

Job Location - City, State

Philadelphia, Pennsylvania

Department / School

Perelman School of Medicine

Pay Range

$84,961.00 - $105,000.00 Annual Rate

Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.

Equal Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin(including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protectedunder applicable federal, state or local law.

Special Requirements
Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

University Benefits

  • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefitsto protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.

  • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.

  • Retirement:Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.

  • Time Away from Work:Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.

  • Long-Term Care Insurance:In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.

  • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.

  • Professional and Personal Development:Penn provides an array of resources to help you advance yourself personally and professionally.

  • University Resources:As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.

  • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.

  • Flexible Work Hours:Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.

  • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.

  • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.

To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay


What University Of Pennsylvania employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


University of Pennsylvania logo

About University of Pennsylvania

Sourced by ZipRecruiter

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740