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Apprentice Machine Learning Testing Jobs in Westbrook, ME

Alivo

Senior Software Engineer

South Portland, ME · On-site

$125K - $165K/yr

Help establish and maintain high standards for code quality, testing, and system reliability ... Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of ...

Alivo

Senior Software Engineer

South Portland, ME · On-site

$125K - $165K/yr

Help establish and maintain high standards for code quality, testing, and system reliability ... Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of ...

Socket.dev

Senior Software Engineer

South Portland, ME · On-site

$127K - $167K/yr

Help establish and maintain high standards for code quality, testing, and system reliability ... Experience working with AI, LLMs, or machine learning-powered products * Strong understanding of ...

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Apprentice Machine Learning Testing information

See Westbrook, ME salary details

$11

$19

$28

How much do apprentice machine learning testing jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for apprentice machine learning testing in Westbrook, ME is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $21.54 per hour, depending on experience, location, and employer.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What job categories do people searching Apprentice Machine Learning Testing jobs in Westbrook, ME look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Westbrook, ME are:

Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in Westbrook, ME as of June 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,955 per year, or $19.7 per hour.

Senior Software Engineer

South Portland, ME • On-site

Alivo
See more jobs at Alivoexternal

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

We are looking for a highly driven, product-minded Senior Software Engineer to help build the future of AI-powered customer communication.
This role is responsible for designing, building, and maintaining core product functionality across our platform. You will work across the entire technology stack, building features from backend services to frontend experiences while helping shape the technical foundation that supports Alivo's growth.
This role is critical to our success. As a key member of a small, high-performing engineering team, you will have significant ownership over product development, technical decision-making, and platform scalability. You will help us move quickly while maintaining the quality, reliability, and security expected from a world-class software platform.
If you thrive in fast-paced environments, enjoy solving complex technical challenges, and are excited about building AI-powered products, this role is for you.
What You'll Do
  • Build & Ship Product Features
    • Design, develop, and deploy full-stack product features across our platform
    • Build backend services using Python and FastAPI
    • Develop frontend functionality using React
    • Own projects from technical design through deployment and ongoing maintenance
    • Collaborate closely with Product and Leadership to deliver customer value quickly
  • Build AI-Powered Experiences
    • Develop and improve LLM-powered functionality throughout the platform
    • Design integrations, orchestration systems, evaluation frameworks, and supporting infrastructure
    • Help improve reliability, performance, quality, and cost efficiency of AI-powered features
    • Stay current on emerging technologies and identify opportunities to improve our platform
  • Drive Engineering Excellence
    • Serve as a strong code reviewer and technical thought partner for the engineering team
    • Help establish and maintain high standards for code quality, testing, and system reliability
    • Identify technical debt and opportunities for long-term improvement
    • Contribute to engineering best practices and development workflows
  • Support Platform Scalability & Reliability
    • Help build and improve CI/CD pipelines, deployment workflows, and release processes
    • Support monitoring, observability, and production reliability initiatives
    • Contribute to security, access controls, and secure development practices
    • Help ensure the platform remains scalable, maintainable, and resilient as the company grows
  • Collaborate Cross-Functionally
    • Partner with Product, Customer Success, and Leadership to understand customer needs and priorities
    • Provide technical guidance and insight during product planning and roadmap discussions
    • Support troubleshooting and resolution of complex technical issues when needed
    • Help mentor and elevate other members of the engineering team

Requirements
Qualifications
  • What You Bring
    • 5+ years of professional software engineering experience
    • Strong full-stack development experience with Python and React
    • Experience building and deploying production software applications
    • Experience working with AI, LLMs, or machine learning-powered products
    • Strong understanding of software architecture, API design, and scalable systems
    • Experience with CI/CD, deployment automation, and modern software development practices
    • Experience with PostgreSQL
    • Experience with observability, infrastructure-as-code, or release engineering
    • Experience with security best practices and secure software development
    • Eligible to work in the United States
  • Who You Are
    • A builder who enjoys creating products from idea to production
    • Highly accountable with strong ownership mentality
    • Passionate about writing high-quality, maintainable software
    • Comfortable balancing speed with long-term scalability and reliability
    • Curious, adaptable, and eager to continuously learn
    • A strong teammate who enjoys collaborating and helping others succeed
  • Bonus Points For
    • Experience with Django, React, FastAPI, Flask
    • Experience with Azure or cloud infrastructure
    • Background in high-growth startups or fast-moving product organizations
    • 2+ years of technical leadership, mentorship, or senior individual contributor experience

Benefits
  • Company Sponsored Insurance Offerings
    • Health
    • Vision
    • Dental
  • Long Term Financial Benefits
    • Employee equity
    • 401(k)
  • Time to Recharge
    • Unlimited paid time off
    • Paid sick time

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