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Internship Tesla Machine Learning Engineer Jobs in Maine

... feature engineering. • Train, evaluate, and compare machine learning models under supervision ... internships, co-ops, academic research, or applied capstone projects is acceptable. • Solid ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

... data science or machine learning. * Experience gained through internships, co-ops, academic ... Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.

... data science or machine learning. * Experience gained through internships, co-ops, academic ... Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Showing results 41-60

Internship Tesla Machine Learning Engineer information

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

AspectInternship Tesla Machine Learning EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, possibly some machine learning knowledgeStatistics, data analysis, programming skills, often some machine learning understanding
Work EnvironmentHands-on projects in AI/ML teams at Tesla, collaborative, fast-pacedData analysis tasks, reporting, modeling in various departments, collaborative
Employer & Industry UsageTesla, automotive, AI, and autonomous driving sectorsVarious industries including tech, finance, healthcare, often within data teams

Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.

What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?

Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.

What does an Internship Tesla Machine Learning Engineer do?

An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.

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

To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.

What are popular job titles related to Internship Tesla Machine Learning Engineer jobs in Maine?

For Internship Tesla Machine Learning Engineer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Internship Tesla Machine Learning Engineer jobs in Maine look for?

The top searched job categories for Internship Tesla Machine Learning Engineer jobs in Maine are:

What cities in Maine are hiring for Internship Tesla Machine Learning Engineer jobs?

Cities in Maine with the most Internship Tesla Machine Learning Engineer job openings:

Outpatient Therapy Internship 2026-2027 - Biddeford

Alternative Wellness Services Inc

Biddeford, ME • On-site

Internship

Re-posted 3 days ago


Job description

Description:

INTERNSHIP OVERVIEW AND OBJECTIVES

The Outpatient Therapy Internship at Alternative Wellness Services (AWS) is a temporary, unpaid opportunity designed for master ’s-level students to bridge academic learning with practical experience in mental health services. This internship focuses on hands-on learning, offering students the chance to work closely with licensed professionals to deliver individual and group counseling, clinical documentation, and therapeutic interventions.


Interns will gain exposure to all aspects of outpatient therapy, including conducting diagnostic assessments, creating treatment plans, and engaging in crisis intervention. Through structured supervision and mentorship, the program supports the development of essential clinical skills, emphasizing professionalism, ethical standards, and cultural competency. Interns will participate in individual and group supervision, receive ongoing feedback, and have access to professional development opportunities aimed at preparing them for a successful career in behavioral health.


This role is meant to align with the intern’s academic calendar and educational goals and includes integration into a multidisciplinary team, exposure to community resources, and training in trauma-informed care. The internship is strictly educational, with no expectation of compensation or a paid position upon completion.


PRIMARY LEARNING OBJECTIVES AND RESPONSIBILITIES

Direct Client Work:

  • Carry a small caseload of Outpatient clients, providing individual and group counseling under the guidance of a licensed clinician.
  • Participate in and/or co-facilitate therapeutic groups, developing skills in group dynamics and therapeutic engagement.
  • Engage in individual counseling and family work both in person and through telehealth platforms.
  • Conduct intake interviews and brief assessments, completing required documentation.

Clinical Documentation and Assessment:

  • Complete session notes, biopsychosocial assessments, and diagnostic assessments under supervision.
  • Gain proficiency in AWS’s Electronic Health Record (EHR) system, ensuring compliance with agency standards.

Training in Assessment and Treatment Planning:

  • Develop and refine skills in psychosocial assessment, crisis planning, and treatment planning, including formulating measurable goals and culturally informed interventions.
  • Practice crisis intervention and learn to identify and manage risk factors in mental health care.

Collaborative and Independent Practice:

  • Independently handle non-urgent client care responsibilities while escalating urgent concerns to supervisors.
  • Maintain strong communication and collaboration with supervisors and staff.
  • Co-creation of learning objectives and/or goals to satisfy requirements of the Intern’s learning contract.

Professional Development and Supervision:

  • Participate in weekly individual supervision sessions and monthly group supervision meetings to reflect on experiences, receive feedback, and set learning goals.
  • Attend biweekly staff meetings.
  • Explore training and resources that enhance cultural awareness, trauma-informed care, and professional communication skills.

PROFESSIONAL DEVELOPMENT AND LEARNING OPPORTUNITIES

At Alternative Wellness Services, we are committed to fostering the growth of our interns by providing a supportive and educational environment. This internship offers a unique opportunity to develop practical skills, deepen professional knowledge, and gain firsthand experience in the field of mental health services. Interns will benefit from structured supervision, collaborative team engagement, and exposure to diverse client needs, all designed to prepare them for a successful career in behavioral health.

Key opportunities include:

  • Direct Client Work Experience: Gain practical skills in individual and group therapy, clinical documentation, and crisis intervention.
  • Professional Development: Become familiar with AWS’s EHR system and participate in supervised clinical assessments, diagnostics, and treatment planning.
  • Team Integration: Join a dynamic multidisciplinary team of social service providers, gaining exposure to community resources in Southern Maine.
  • Ongoing Support and Mentorship: Receive individual and group supervision from licensed clinicians, supporting your growth as a future clinician.
  • Learning Opportunities: Develop advocacy skills, participate in treatment planning, and enhance knowledge of community resources statewide.

SCHEDULE AND DURATION

Master’s level Social Work Interns are expected to commit to a minimum of 6 months, with a weekly commitment of at least 16 hours during regular weekday business hours. Flexible scheduling is offered to accommodate academic commitments; however, hours are restricted to AWS’s standard business hours, with no availability for nights or weekends.


PHYSICAL DEMANDS & WORK ENVIRONMENT

The Outpatient Therapy Intern role can involve office-based tasks, including extended periods of sitting, typing, and conversing with clients and team members. Interns may be required to use a computer for documentation and research, requiring fine motor skills and regular screen time. Additionally:

  • Typing and desk work for extended periods with appropriate breaks.
  • Lifting and carrying materials or equipment weighing up to 20 pounds.
  • Walking upstairs and standing intermittently as required by in-office meetings and client interactions.
  • Occasional local travel for community engagement or client support may be required.
Requirements:

QUALIFICATIONS

Academic Requirement: Enrollment in a Master’s program in Social Work, Counseling, or a related field. Coursework in biopsychosocial assessment, clinical documentation, and crisis intervention is preferred.

Ability to Successfully Pass a Background Check: All interns must pass a comprehensive background check prior to starting their placement.

Certifications: Provisional MHRT/C certification (or the ability to obtain it) is required for conducting admission assessments. AWS will provide support in the certification process.

Preferred Experience: Completion of a biopsychosocial class and previous experience in the behavioral health field.


Skills and Knowledge:

  • Basic understanding of counseling theories, the DSM, and therapeutic models such as CBT, ACT, mindfulness, and psychodynamic approaches.
  • Strong commitment to confidentiality, professionalism, and ethical standards, including adherence to the NASW Code of Ethics.
  • Proficiency in electronic documentation, Google Workspace, and a willingness to learn AWS’s Electronic Health Record (EHR) system.
  • Demonstrates cultural awareness, self-reflection, and a nonjudgmental, empowering approach to client care.
  • Ability to maintain strong boundaries and work independently.
  • Ability to establish rapport and maintain therapeutic relationships with clients and colleagues.
  • Ability to communicate effectively in writing and orally, both in person, via HIPPA compliant video chat, and by telephone.
  • Capacity for self-awareness and adaptability in various professional situations.