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Machine Learning Engineer New Grad Jobs in Maine

... engineering. * Train, evaluate, and compare machine learning models under supervision. * Assist ... Strong curiosity and motivation to learn new tools, techniques, and AI methods. * Openness to ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

... engineering. * Train, evaluate, and compare machine learning models under supervision. * Assist ... Strong curiosity and motivation to learn new tools, techniques, and AI methods. * Openness to ...

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Machine Learning Engineer New Grad information

What is a Machine Learning Engineer New Grad job?

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 Maine? For Machine Learning Engineer New Grad jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Maine look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Maine are:
What cities in Maine are hiring for Machine Learning Engineer New Grad jobs? Cities in Maine with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Maine as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.
Application Developer Sr II

Application Developer Sr II

IDEXX Laboratories, Inc.

Westbrook, ME • On-site, Remote

$130K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

57th of 105 rated laboratories


Job description

As an Application Developer Sr II, you will design and build software and data solutions that enable advanced clinical insights using modern technologies. You will collaborate with a high-performing Scrum team to deliver innovative capabilities that improve pet health outcomes. This role is fully remote and offers the opportunity to work on impactful initiatives using IDEXX's core clinical data assets.
The Clinical Information Services team is focused on developing scalable data, machine learning, and application solutions that drive meaningful insights in veterinary care. You will work alongside software engineers, data engineers, and data scientists to deliver industry-leading capabilities.
In this role:
  • You will design, implement proofs of concept, and develop data pipelines and integrations
  • You will contribute to machine learning and application development efforts supporting clinical insights initiatives
  • You will participate in business planning as well as technical architecture and infrastructure strategy
  • You will innovate across technology, development practices, and team processes
  • You will collaborate closely with Architects, Developers, QA Engineers, DevOps, Product Owners, and Scrum Masters across remote teams
  • You will work within a Scrum-based Agile environment to deliver high-quality solutions
  • You will mentor and coach junior developers and QA team members
  • You will continuously learn new technologies and share knowledge with peers

Why this role matters:
This role plays a critical part in advancing IDEXX's ability to generate actionable clinical insights that improve animal health worldwide. Your contributions will directly impact how data is leveraged to drive innovation in veterinary medicine, helping clinicians make better decisions and improving outcomes for pets and livestock.
What you need to succeed:
  • Proficiency with one or more major cloud providers (AWS preferred)
  • Strong programming skills in Java 17 and Python 3
  • Experience with relational databases (AWS MySQL Aurora)
  • Experience with Databricks
  • Experience with infrastructure-as-code tools (Terraform)
  • Experience with AWS services (API Gateway, AWS Lambda, SQS, S3)
  • Proficiency with GitHub and GitHub Actions
  • Experience building CI/CD pipelines
  • Familiarity with tools such as JIRA, Confluence, Slack, and MS Teams
  • Ability to rapidly learn and adapt to new technologies
  • Strong collaboration and communication skills

Preferred:
  • Familiarity with Snowflake
  • Experience with domain-driven design (DDD)

What you can expect from us:
  • Salary: $130,000 - $145,000 / year
  • Opportunity for annual cash bonus
  • Health / Dental / Vision benefits starting Day-One
  • 5% matching 401k
  • Additional benefits including financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more

Why IDEXX:
We're proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease.
Our culture embraces challenges and encourages learning and discovery. At IDEXX, you'll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. If meaningful work and a sense of purpose are at the top of your list, you'll find it here.
Let's pursue what matters together.
Equal Opportunity Statement:
IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.
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