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Machine Learning Engineer New Grad Jobs in Schenectady, NY

Kayla's HR Co

Assistant Manager

Schenectady, NY · Remote

Collaborate with product and engineering teams to integrate machine learning solutions into production systems * Stay current with emerging trends in data science, machine learning, and AI to ...

Veterans Sourcing Group

Be Seen First

ELEARNING Developer

Albany, NY · On-site

$40 - $45/hr

Title : eLearning Developer Location ... Albany, NY Duration : 12 month minimum contract Pay Rate: $45/hr. W2 Project Overview This role ...

Kitware

Software Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

Collaborate with researchers and engineers on projects involving computer vision, machine learning ... Living & Working in New York's Capital Region The Software Engineer is offered at Kitware's Clifton ...

Kitware

Software Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

Collaborate with researchers and engineers on projects involving computer vision, machine learning ... Living & Working in New York's Capital Region The Software Engineer is offered at Kitware's Clifton ...

Excelsior College

Data Engineer

Albany, NY · Hybrid

$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 ...

New York State

Data Analyst 1 - 3498

Albany, NY · On-site

$66K - $85K/yr

... and machine learning to analyze data sets. The incumbent will also use analytical programming ... Experience in selecting and adapting new technologies and AI tools. Experience in public health ...

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

Machine Learning Engineer New Grad information

See Schenectady, NY salary details

$30.5K

$124.6K

$187.2K

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

As of Sep 14, 2026, the average yearly pay for machine learning engineer new grad in Schenectady, NY is $124,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 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 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 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 popular job titles related to Machine Learning Engineer New Grad jobs in Schenectady, NY?

For Machine Learning Engineer New Grad jobs in Schenectady, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Schenectady, NY look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Schenectady, NY are:

What cities near Schenectady, NY are hiring for Machine Learning Engineer New Grad jobs?

Cities near Schenectady, 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 Schenectady, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,587 per year, or $59.9 per hour.

Assistant Manager

Schenectady, NY • Remote

Kayla's HR Co
See more jobs at Kayla's HR Coexternal

Contractor

Re-posted 18 days ago

Job description

Senior Data Scientist - Machine Learning Specialist Job Description

We are seeking a talented and innovative Senior Data Scientist to join our growing analytics team. In this impactful role, you will leverage your expertise in machine learning and Python to transform complex data into actionable insights that drive strategic business decisions across our organization.

As our Data Scientist, you will collaborate with cross-functional teams to identify opportunities, develop sophisticated machine learning models, and implement data-driven solutions that directly impact our business outcomes.

Key Responsibilities:
  • Design, develop, and deploy advanced machine learning algorithms and statistical models to solve complex business problems
  • Extract, transform, and analyze large datasets from multiple sources to uncover patterns and generate actionable insights
  • Build robust predictive models using supervised and unsupervised learning techniques
  • Create comprehensive data visualizations and dashboards to effectively communicate findings to technical and non-technical stakeholders
  • Collaborate with product and engineering teams to integrate machine learning solutions into production systems
  • Stay current with emerging trends in data science, machine learning, and AI to continuously improve our analytical capabilities
  • Mentor junior data scientists and contribute to building a culture of data-driven decision making
Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's or PhD preferred
  • 3+ years of hands-on experience applying machine learning techniques to solve real-world business problems
  • Strong proficiency in Python and its data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
  • Experience with SQL and database systems for data extraction and manipulation
  • Demonstrated expertise in developing and deploying machine learning models in production environments
  • Solid understanding of statistical analysis, experimental design, and A/B testing methodologies
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical audiences
Preferred Skills:
  • Experience with cloud platforms (AWS, Azure, or GCP) and their machine learning services
  • Knowledge of big data technologies (Hadoop, Spark)
  • Familiarity with version control systems (Git) and collaborative development workflows
  • Experience with NLP, computer vision, or deep learning applications
  • Background in data engineering or software development

Join our innovative team and help shape the future of our organization through data-driven insights and machine learning solutions. This role offers the opportunity to work on challenging problems, collaborate with talented professionals, and make a significant impact on our business growth and success.