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Machine Learning Engineer New Grad Jobs in Albany, NY

Excelsior Collage

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves ...

Excelsior University

Sr Data Scientist

Albany, NY · On-site

... machine learning frameworks and libraries. • Experience with end-to-end model lifecycle management, including data preparation, feature engineering, training, validation, deployment, and monitoring ...

Excelsior College

Sr Data Scientist

Albany, NY · On-site

$85K - $95K/yr

Strong proficiency in Python, SQL, and common machine learning frameworks and libraries. * Experience with end-to-end model lifecycle management, including data preparation, feature engineering ...

Excelsior Collage

Sr Data Scientist

Albany, NY · On-site

$85K - $95K/yr

Strong proficiency in Python, SQL, and common machine learning frameworks and libraries. * Experience with end-to-end model lifecycle management, including data preparation, feature engineering ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

... engineering, or related field required. * 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments. * Required: Prior ...

Farm Family

Sr P&C Data Scientist

Albany, NY · On-site

$102 - $152/hr

US NE - Omaha: US NY - New York City: US TX - Houston Downtown: US NY - Albany: US CA - Los ... This role applies statistical, machine learning, and data analysis techniques to insurance data to ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Albany, NY

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:
Machine Learning Engineer New Grad jobs near you
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.

Data Engineer

Excelsior Collage

Albany, NY • On-site

$100K - $110K/yr

Full-time

Re-posted 17 days ago

Job description

The Data Engineer is an integral part of the Information Technology Services department (ITS), reporting to the Director of Business Intelligence (BI). The role will be involved in efforts to ensure the accuracy, integrity, and security of data within the BI system that supports data processing and analysis needs.
Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves designing, building, and maintaining test pipelines, data transformation or systems performance logs, and metadata or data catalogs. The Data Engineer is responsible for ensuring accurate and complete data collection, per business requirements, KPIs, and SLAs or SLOs. Gaining a thorough understanding of the data maintained in the enterprise data warehouse is mandatory. Advocating for data quality across teams is essential.
This is a full-time role with at least two required days at the Excelsior home office in Albany, NY. The remaining days can be worked from home. The Data Engineer will play a significant role in shaping the data operations strategy and infrastructure of the University.
Duties and Responsibilities:
  • Work with data analysts, data governance workgroups, and other stakeholders to understand their needs and translate them into technical requirements.
  • Maintain a strong understanding of business workflows, processes, and events, and relate this understanding to how these are captured in transactional systems.
  • Develop and implement strategies to ensure data is clean and reliable.
  • Design and execute tests to validate data transformations, migrations, and storage within the data warehouse environment.
  • Identify any errors or inconsistencies in the enterprise data warehouse.
  • Write technical documentation and term definitions in the Data Governance Platform.
  • Implement data governance and ensure data integrity across all BI initiatives.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Bachelor's degree in computer science, information technology, systems engineering, database management, or related field
  • 8 years of experience writing and troubleshooting complex SQL queries (PL/SQL and TSQL) and Python or R data frame functions.
  • Strong understanding of relational database systems and data warehousing concepts.
  • Strong analytical, research, and critical thinking.
  • Experience in creating data quality requirements analysis documentation.

Strongly Preferred Qualifications:
  • Experience with reporting tools (Power BI, QlikView, or QlikSense).
  • Ability to work with a diverse group of stakeholders in a collaborative manner and communicate effectively.
  • Excellent organizational skills

The hiring salary range for this position is $100,000.00 - $110,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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