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Machine Learning Engineer New Grad Jobs in Chesterfield, MA

Varsity Tutors

Data Science Tutor

Northampton, MA · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Python Tutor

Northampton, MA · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Charter Next Generation

Machine Operator

Turners Falls, MA · On-site

$23/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Participate in the training curriculum as an operator learning aspects of plastic extrusion line ... or engineering * Ability to work 12-hour shifts and lift up to 65 pounds * Basic mechanical ...

LiquidPiston

CNC Programming Machinist

Suffield, CT · On-site

$20 - $27.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Operate manual machine tools, including: * Surface grinder * Bridgeport mill * Manual lathe ... Ongoing training, mentorship, and learning opportunities to accelerate your growth. Our Culture At ...

LiquidPiston, Inc.

CNC Programming Machinist

Suffield, CT · On-site

$20 - $27.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Operate manual machine tools, including: * Surface grinder * Bridgeport mill * Manual lathe ... Ongoing training, mentorship, and learning opportunities to accelerate your growth. Our Culture At ...

LiquidPiston, Inc.

Senior Design Engineer

Suffield, CT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Generate and evaluate new ideas to improve the performance, durability, and manufacturability of ... Select and coordinate with suppliers and machine shops-from RFQ to incoming inspection. * Support ...

LiquidPiston

Senior Design Engineer

Suffield, CT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Generate and evaluate new ideas to improve the performance, durability, and manufacturability of ... Select and coordinate with suppliers and machine shops--from RFQ to incoming inspection. * Support ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Chesterfield, MA

Machine Learning Engineer New Grad information

See Chesterfield, MA salary details

$31.8K

$130.1K

$195.5K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer new grad in Chesterfield, MA is $130,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $156,600.00 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 cities near Chesterfield, MA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Chesterfield, MA with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you

Senior Systems Engineer - AI/ML Data Analysis - Active Secret

General Dynamics Mission Systems

Pittsfield, MA • On-site

$112K - $125K/yr

Full-time

Posted 6 days ago

General Dynamics Mission Systems rating

7.9

Company rating: 7.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

129th of 245 rated software companies

Job description

Basic Qualifications
Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Master's degree, plus a minimum of 3 years of relevant experience.
CLEARANCE REQUIREMENTS:
Candidate must have an active DoD Secret security clearance to meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
General Dynamics Mission Systems (GDMS) is seeking a motivated and technically skilled Senior Systems Engineer to join the Fleet Ballistic Missile (FBM) Sustainment team. In this role, you will serve as the primary owner of the Fleet Data Analysis System (FDAS) tool and will leverage cutting-edge Artificial Intelligence (AI) and machine learning techniques to develop scripts and automated workflows that analyze patrol data, identify trends, and support mission readiness decisions. This is a high-impact position supporting the United States Navy's and Strategic Systems Programs (SSP) submarine-based strategic deterrent mission.
Key Responsibilities:
  • Serve as the primary tool owner for the Fleet Data Analysis System (FDAS), managing configuration, maintenance, version control, and user support.
  • Design, develop, and maintain AI-powered scripts and automated analysis tools to process and interpret submarine patrol data.
  • Utilize Python, machine learning frameworks, and AI code-generation tools (e.g., GAIAA, GitHub Copilot) to accelerate data analysis workflows and reduce manual processing time.
  • Analyze complex patrol datasets to identify anomalies, performance trends, and mission-critical insights for engineering and leadership review.
  • Collaborate with systems engineers, data analysts, and program managers to define FDAS tool requirements and deliver continuous improvements.
  • Support sustainment activities for FBM weapon system components, ensuring alignment with Navy specifications and GDMS engineering standards.
  • Produce technical documentation, engineering reports, and briefings communicating findings derived from FDAS data analysis.
  • Coordinate with Navy stakeholders and government customers to ensure FDAS outputs meet mission and reporting requirements.
  • Identify opportunities to apply AI/ML innovations to improve patrol data processing efficiency, accuracy, and predictive maintenance capabilities.
  • Maintain compliance with cybersecurity requirements, ITAR regulations, and program security protocols.

Required Qualifications:
  • Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field.
  • 5 years of experience in systems engineering, data analysis, or related discipline.
  • Demonstrated experience with data analysis tools and scripting languages (Python strongly preferred).
  • Familiarity with AI/ML concepts and the ability to leverage AI-assisted tools (e.g., GAIAA, GitHub Copilot, ChatGPT) to create and maintain analysis scripts.
  • Strong analytical and problem-solving skills with the ability to interpret complex technical data sets.
  • Excellent written and verbal communication skills, including ability to produce engineering-quality reports and briefings.
  • Active DoD Secret security clearance (required at time of start).
  • Ability to work independently and collaboratively in a fast-paced sustainment environment.

Preferred Qualifications:
  • Experience developing and supporting SWC systems software
  • Familiarity with FDAS or similar Navy fleet data analysis systems and tools.
  • Experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Plotly).
  • Experience with SQL databases and data pipeline development.
  • Understanding of Navy systems engineering processes, MIL-STD specifications, and submarine lifecycle management.
  • Experience working in an Agile or Scrum development environment.
  • Familiarity with GDMS internal tools and the GAIAA AI assistant platform.

Workplace Options:
This position is fully on-site.
While on-site, you will be a part of the FBM Sustainment Team in Pittsfield, MA
#CJ2
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $112,924.00 - USD $125,275.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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