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Entry Level Machine Learning Jobs in Maine (NOW HIRING)

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Entry Level Machine Learning information

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$11

$16

$20

How much do entry level machine learning jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for entry level machine learning in Maine is $16.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.37 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
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Entry Level Machine Learning jobs near you
Controls Engineer - Entry Level

Controls Engineer - Entry Level

Howell Laboratories Inc

Bridgton, ME • On-site

$84K - $108K/yr

Full-time

Posted 23 days ago

Key responsibilities

  • Design, program, and commission PLC-based control systems for new and existing product lines.

  • Develop and execute test plans and procedures for controls systems during factory acceptance testing and support site acceptance testing as required.

  • Provide technical support to Navy customers and field personnel for installed equipment, including diagnosing and resolving controls-related issues remotely or on-site.

Job description

Salary:

Controls Engineer Job Description


Job Title: Controls Engineer - Entry Level


Reports To: Engineering Manager


Type of Position: Full-Time


Location: Bridgton, ME


Status: Exempt



General Job Description:

Howell Laboratories, Inc. is seeking a motivated and resourceful Controls Engineer to fill an established role on our Engineering team. The successful candidate will step into a position supporting controls system design, development, testing, and customer support across our packaged system product lines for the U.S. Navy including seawater chlorination systems, potable water disinfectant generators, and air dehydrator systems.

The Controls Engineer will work closely with a collaborative engineering team that includes an Electrical Engineer, Mechanical Engineers, a CAD Designer, and an Engineering Manager. This role demands a genuine passion for learning, strong problem-solving instincts, and the ability to grow technical expertise through hands-on experience and self-directed study.


Our Legacy

Howell Laboratories, Inc. has delivered mission-critical marine solutions for over six decades. Since becoming employee-owned in 1995, we have leveraged a culture of high productivity to develop cutting-edge air and water treatment systems for the US Navy and Coast Guard. From desiccant dehydrators to electrolytic disinfectant generators, we specialize in solving complex problems with custom-engineered technology built for the sea.

Howell Laboratories and its divisions: ODAT Machine and GDL Powder Coating, is a 100% employee-owned (ESOP) engineering and manufacturing company based in Bridgton and Gorham, ME. We are committed to providing our knowledge, expertise, and integrity to partners who require solutions on which they can stake their lives and livelihoods. We turn innovation into creation.

Our Values: Ownership, Accountability, Integrity, Feedback, Empathy, Openness

Responsibilities:

As a Controls Engineer, you will be responsible for the design, specification, development and implementation of controls systems for various devices.


Controls System Development

  • Design, program, and commission PLC-based control systems for new and existing product lines.
  • Develop HMI screens and operator interface programs that meet Navy usability and documentation standards.
  • Asist in creating and maintaining electrical schematics, control panel layouts, and I/O documentation.
  • Specify and select instrumentation, sensors, actuators, and control hardware appropriate to marine environments.
  • Collaborate with mechanical and systems engineers to integrate controls with overall packaged system designs.


Product Testing & Validation

  • Develop and execute test plans and procedures for controls systems during factory acceptance testing (FAT).
  • Troubleshoot system faults and anomalies during testing; document findings and implement corrective actions.
  • Support site acceptance testing (SAT) aboard naval vessels or at shore-based facilities as required
  • Maintain test records, data logs, and calibration documentation in compliance with Navy requirements.
  • Participate in design reviews and contribute controls engineering perspectives to product improvement efforts.


Customer & Field Support

  • Provide technical support to Navy customers and field personnel for installed equipment.
  • Diagnose and resolve controls-related issues remotely via phone and email.
  • Prepare and deliver technical documentation, including troubleshooting guides and operator manuals.
  • Travel periodically to Navy bases, shipyards, and customer sites to support commissioning, training, or repair activities
  • Develop and maintain strong relationships with Navy engineering and maintenance personnel


Self-Directed Learning & Growth

  • Proactively research and develop proficiency in PLC platforms, communication protocols, and control system architectures relevant to Howell products
  • Study applicable Navy standards, MIL-SPEC documents, and shipboard system requirements independently
  • Identify and pursue relevant training, certifications, or coursework to advance controls engineering capabilities
  • Build internal knowledge base documentation to support future controls engineering resources
  • Stay current on developments in industrial controls, cybersecurity for control systems, and defense industry requirements

Qualifications:

  • Bachelors degree in Electrical Engineering, Controls Engineering, Mechatronics, or a closely related field
  • Foundational understanding of PLC programming concepts (ladder logic, function block, or structured text)
  • Coursework or project experience with industrial control systems, process instrumentation, or automation
  • Ability to read and interpret electrical schematics and wiring diagrams
  • Strong analytical and troubleshooting skills with a systematic approach to problem-solving
  • Excellent written and verbal communication skills; ability to document technical work clearly
  • Demonstrated self-motivation and ability to learn independently with minimal supervision
  • Excellent communication skills.
  • Proficiency in MS Office
  • Proficiency in CAD software
  • Excellent multitasking skills
  • Ability to work well in a team environment
  • Must be a U.S. Citizen and eligible to obtain a U.S. Government security clearance

Preferred Qualifications

  • Hands-on experience with Red Lion, Schneider Electric, or Siemens PLC and HMI platforms
  • Familiarity with Red Lion HMI/SCADA tools, Schneider Electric EcoStruxure/Unity Pro, or Siemens TIA Portal
  • Exposure to electrochemical systems, water treatment processes, or fluid handling systems
  • Experience with Navy or defense contracting environments, MIL-STD documentation, or NAVSEA standards
  • Knowledge of industrial communication protocols (Modbus, Profibus, EtherNet/IP, CANbus)
  • NICET, ISA, or other relevant professional certifications or coursework
  • Experience with CAD tools for electrical schematic development (AutoCAD Electrical, EPLAN, or similar)


Key Competencies:

Successful candidates will demonstrate strength in the following areas:


  • Self-Directed Learning Ability to independently acquire new technical skills, research unfamiliar systems, and apply knowledge in a practical setting without formal mentorship in the controls discipline
  • Technical Problem Solving Systematic approach to diagnosing controls and instrumentation issues, with the ability to work through complex problems methodically and develop effective solutions
  • Attention to Detail Precision in programming, documentation, wiring verification, and test execution; understanding that errors in control systems can have significant operational consequences
  • Cross-Functional Collaboration Ability to work effectively with electrical, mechanical, and design engineering colleagues, translating controls requirements across disciplines
  • Customer Focus Responsiveness and professionalism when supporting Navy customers and field personnel; ability to communicate technical information clearly to non-controls audiences
  • Adaptability Comfort operating across multiple PLC/HMI platforms and product lines, and willingness to pivot between product development, testing, and customer support as priorities shift
  • Technical Communication Ability to produce clear, accurate documentation including program comments, test records, wiring diagrams, and operator instructions
  • Initiative Proactive identification of system improvements, documentation gaps, or customer needs without waiting to be directed


Physical Requirements:

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
  • Must be able to access various departments of a given location.