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Machine Learning Engineer Jobs in Burlington, VT

Software Engineer I

Burlington, VT · On-site +1

$74K - $111K/yr

You will begin learning how to leverage AI tools such as GitHub Copilot, Claude Code, and MCP-based ... We are a collaborative team that values engineering craft, continuous improvement, and building ...

Sr Software Engineer

Plattsburgh, NY · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

Keeseville, NY · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

Essex Junction, VT · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

Jericho, VT · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

South Burlington, VT · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

Winooski, VT · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

Burlington, VT · On-site

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Sr Software Engineer

Burlington, VT · On-site +1

$101K - $169K/yr

Passion for mentoring, continuous learning, and sharing knowledge with the engineering community. * Proactive in monitoring emerging technologies and driving adoption of best practices. * Commitment ...

Lead Development Engineer

Burlington, VT · On-site

$154K - $172K/yr

Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers ... More about the role This is an exciting job opportunity for you as a Lead Development Engineer in ...

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Showing results 1-20

Machine Learning Engineer information

See Burlington, VT salary details

$31K

$126.9K

$190.7K

How much do machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer in Burlington, VT is $126,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,800.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Burlington, VT? The most popular types of Machine Learning Engineer jobs in Burlington, VT are:
What are popular job titles related to Machine Learning Engineer jobs in Burlington, VT? For Machine Learning Engineer jobs in Burlington, VT, the most frequently searched job titles are:
Infographic showing various Machine Learning Engineer job openings in Burlington, VT as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,902 per year, or $61 per hour.

Product Development Engineer (Design Specialist - Packaging Hot Runner)

Husky Technologies

Milton, VT • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Husky Technologies TM is a company with a strong foundation built on innovation, close customer relationships, a strong sense of community and a unique culture and values. We are looking for people with the inspiration and talent to develop with us as we pursue our ambitious growth strategy.
Husky Technologies TM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with - and be challenged by - a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a company taking on new challenges and for the right people this means exceptional career development opportunities, the chance to be part of a team that is the best in the world at what we do and the experience that comes from working in an environment that demands constant transformation and innovation.
Husky Technologies TM United States manufacturing facility is located in Milton, Vermont on a large, beautiful campus located just 30 minutes north of downtown Burlington, Vermont. Features include an onsite cafeteria, open office concept, fitness center, intramural sports activities and clean, state-of-the-art manufacturing facilities with outstanding safety records. We offer a great work environment, competitive total compensation and attractive benefits package.
Additional things you might like to know about working at Husky Technologies TM in Milton, Vermont;
  • 200,000 square foot bright, clean machine shop
  • Shift work premiums (25% afternoon shift and 40% evening shift)
  • Annual incentive bonus
  • Outstanding 401k contribution and match program
  • 700 acres of private land to walk, bike, run or cross country ski
  • On site gym facility
  • On site cafeteria
  • Opportunity to work for a world class company with great people

Husky Technologies TM is an exciting company with tremendous potential. We have a great team and great expectations. If you are attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive contribution - then we want you to join the Husky Technologies TM team!
Range: $125,000-$155,000
Vacancy: ADD
Are you interested in developing new products and technologies? Have experience defining and developing tooling for the packaging market? Do you enjoy working in a dynamic learning environment? Are you interested in joining a team of innovative engineers working for the leading global supplier of injection molding equipment for the plastic industry? If you answered yes, this role is for you.
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working with business development, completing engineering, and subsequent launch into our manufacturing operations.
Role Description:
  • System level design with limited guidance, frequently in the absence of specific design standards.
  • Product Architect
  • Participate in the formulation and/or evaluation of business cases.
  • Work within a team of Engineers/Design Specialists in the development of new Injection Molding tooling products following appropriate steps within a formal product development process.
  • Guide and approve the content of design documents and validation plans.
  • Contribute to, verify and monitor engineering documentation.
  • Apply scientific/engineering principles design execution.
  • Sizing and selection of components (for example, but not limited to linear motors, sensors, bearings, gearboxes, belts, seals, servo motors, pneumatic and hydraulic components etc.) as well as material selection and application of design standards.
  • Provide leadership, mentoring and training to team members.
  • Create system level concept designs in various levels of detail including function block diagrams, CAD layouts, functional decomposition.
  • Lead and contribute to design reviews and brainstorming sessions. Responsible for decision making in the context of product definition and architecture.
  • Participate in or lead continuous improvement activities.
  • Verify all concept and systems level process steps of the product development process and Product Release process are followed.
  • Drives the product development process levering team collaboration.
  • Design risk mitigation including participation or facilitation of FMEA.
  • Champion of product compliance with regulatory requirements.
  • Cross discipline interaction and communication including cross discipline inputs - Business Development, Analysis, Electrical, Software, Fluid Power, Metallurgy, Manufacturing, Validation/Test.
  • Represent Husky technically in front of customers, suppliers and technical partners.
  • Represent the Innovation and Sustainability department in front of internal customers including the executive.

Education:
  • Bachelor's degree in mechanical engineering

Qualifications and Skills:
  • 10 + years of design experience in a relevant industry.
  • Excellent communication (verbal and written) and strong presentation skills.
  • Specialized knowledge of products, tools, standards, processes and technology.
  • Specialized knowledge within injection molding, tooling and or plastics processing market.
  • Skilled in CAD modeling techniques - Unigraphics preferred.
  • Expert in calculating design parameters and applying engineering principles to design.
  • Strong time management and organizational skills for maximum efficiency.
  • Illustrates attention to detail when completing tasks.
  • Strong problem-solving skills.
  • Advanced creativity and innovation skills.
  • Strong sense of ownership.
  • Advanced understanding of manufacturing and assembly processes related to injection molding tooling.
  • A flexible team player.
  • Demonstrated ability to lead and work both autonomously, and as part of a highly cohesive cross functional team.
  • Experience selecting appropriate materials and sizing various components. (for example, but not limited to, linear motors, sensors, bearings, gearboxes, belts, seals, servo motors, pneumatic and hydraulic components, etc.) as well as material selection and application of design standards.
  • Well-rounded - hands-on mechanical ability and passion for interests and hobbies outside of work.

Husky Technologies TM offers a competitive compensation and benefits package and excellent opportunities for growth and advancement. We are committed to equal employment opportunity and respect, value and welcome diversity in our workplace. Husky Technologies TM also values being a great place to work and strives to maintain a safe workplace. Accordingly, Husky Technologies TM conditions all offers of employment on satisfactory completion of background checks.
No agency or telephone inquiries please.
If you need special assistance or an accommodation in applying, please contact our Human Resources Department at talent@husky.ca .
Equal Opportunity Employer as to all protected groups, including protected veterans and individuals with disabilities.
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c).