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Entry Level Machine Learning Engineer Jobs in Vermont

We're committed to making a positive impact on the world, providing you with diverse learning and ... programming at the machine. * Select appropriate tooling, feeds, and speeds to ensure optimal ...

Manufacturing Engineer

Bellows Falls, VT

$67K - $86K/yr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Demonstrated process knowledge of machining processes and inspection techniques. * Proficient in ...

Manufacturing Engineer

Bellows Falls, VT · On-site

$67K - $86K/yr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Demonstrated process knowledge of machining processes and inspection techniques. * Proficient in ...

Composite Fabricator I

Bennington, VT · On-site

$19 - $25.02/hr

In this entry-level position, you will play a crucial role in the production of high-quality ... Operate various tools and machinery safely and efficiently. * Conduct inspections of finished ...

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Entry Level Machine Learning Engineer information

See Vermont salary details

$31.9K

$73.7K

$125.5K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level machine learning engineer in Vermont is $73,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $83,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Vermont? The most popular types of Machine Learning Engineer jobs in Vermont are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Vermont? For Entry Level Machine Learning Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Vermont look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Vermont are:
What cities in Vermont are hiring for Entry Level Machine Learning Engineer jobs? Cities in Vermont with the most Entry Level Machine Learning Engineer job openings:
Semiconductor Manufacturing Engineer (2026 New College Graduate)

Semiconductor Manufacturing Engineer (2026 New College Graduate)

GlobalFoundries

Essex Junction, VT • On-site

$54K - $110K/yr

Full-time

Posted 15 days ago


GlobalFoundries rating

8.2

Company rating: 8.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

79th of 519 rated manufacturers


Job description

About GlobalFoundries
GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
New College Graduates Overview:
We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.
Summary of Role:
GlobalFoundries Fab 9, the world leader in RF semiconductor manufacturing in Essex Junction, VT, is seeking an entry level Semiconductor Manufacturing Engineer. The individual selected for this position will be part of the Manufacturing Engineering organization with primary responsibilities focused on support, development and continuous improvement of 200mm semiconductor manufacturing processes.
Essential Responsibilities include:
  • Drive continuous improvement efforts in support of throughput improvement, cost reduction, and yield learning.

  • Design, execute, and analyze experiments to screen and optimize equipment and processes to meet technology (performance, yield, and reliability) and manufacturing (process stability, cost of ownership) targets.

  • Must be technically inclined and able to lead hands on, tactical troubleshooting efforts to resolve long term performance issues; must be able to deconstruct and understand complex systems

  • Collaborate with GLOBALFOUNDRIES technicians and operators to support delivery and quality commitments to our customers.

  • Collaborate with technology development, integration, characterization, and quality engineering to develop new technologies and drive improvements to yield.

  • Ability to understand both the equipment and process sides of issues, focusing delivering our product on-time with excellent quality.

  • Apply structured problem-solving methods to complex systems to address performance issues.

Other Responsibilities:
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:
  • Education - Graduating with Bachelor's in Chemical, Mechanical, Electrical Engineering or related field from an accredited degree program.

  • Must have at least an overall 3.0 GPA and proven good academic standing.

  • Language Fluency - English (Written & Verbal)

  • Travel - Up to 10%

Preferred Qualifications:
  • Prior related internship or co-op experience.

  • Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.

  • Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.

  • Strong written and verbal communication skills

  • Strong planning & organizational skills

  • Ability to work effectively and efficiently with diverse teams, customers, internal and external partners.

  • Understanding and knowledge of Statistical Process Control (SPC) and Design of Experiments (DOE)

#NCGProgramUS
Expected Salary Range
$54,200.00 - $110,300.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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