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Internship Tesla Machine Learning Engineer Jobs in Maine

Bespoke Labs

Machine Learning Engineer

Lewiston, ME · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Biddeford, ME · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Portland, ME · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Augusta, ME · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Auburn, ME · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bangor, ME · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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All JobsTesla Machine Learning Engineer JobsInternship Tesla Machine Learning Engineer JobsInternship Tesla Machine Learning Engineer Jobs in Maine

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:
Internship Tesla Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Market Street Talent

Portland, ME • On-site

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Could you be a good fit?

We are looking for a highly skilled Machine Learning Engineer to join the team of our exceptional client. This role focuses on building and operating the infrastructure that transforms machine learning and computer vision models into scalable production systems. You''ll work closely with Data Scientists and Software Engineers to develop robust training and inference pipelines, optimize model performance, and support cutting-edge AI solutions deployed in both cloud and edge environments.

Benefits:

• Hybrid work environment (Greater Portland Maine area preferred)
• Healthcare Medical, Dental, and Vision Insurance
• 401(k)

What will your day look like? As a Machine Learning Engineer, you will:

• Partner with Data Scientists to productionize machine learning and computer vision models and implement scalable, efficient training and inference pipelines
• Optimize models for performance and scalability, including GPU/CUDA-level tuning and edge/embedded inference optimization using technologies such as TensorRT and DLA
• Collaborate with Software Engineers and Data Scientists to integrate machine learning models into production systems in cloud and edge environments
• Analyze data requirements and support the development of data-driven solutions
• Design and implement data preprocessing and feature engineering pipelines
• Build and maintain infrastructure-as-code for machine learning platforms and deployments
• Develop, deploy, and support machine learning applications using modern MLOps tools and frameworks
• Stay current with emerging technologies and best practices in machine learning, computer vision, and MLOps
• Contribute to high-impact AI initiatives while helping drive operational excellence across machine learning projects

You will be a good fit for the Machine Learning Engineer role if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
• Proven experience delivering machine learning solutions into production environments
• Strong software engineering skills with a test-driven development mindset
• Advanced programming experience with Python and experience working with Spark
• Hands-on experience with distributed computing frameworks such as Ray
• Experience with machine learning frameworks such as PyTorch and modern foundation and vision models
• Strong knowledge of MLOps technologies including Databricks, Databricks Asset Bundles, MLflow, and AWS services such as EC2, S3, and Lambda
• Experience with containerization technologies such as Docker
• Experience using infrastructure-as-code tools including Terraform and CloudFormation
• Expertise optimizing and deploying models for GPU and edge inference using technologies such as CUDA and TensorRT
• Experience creating and deploying applications to AWS Lambda
• Strong Linux administration and troubleshooting skills
• Experience writing and optimizing SQL queries
• Excellent problem-solving, analytical, communication, and collaboration skills

Nice-to-Haves:

• Experience with NVIDIA edge platforms such as Jetson Orin or Thor
• Familiarity with NVIDIA development and optimization tools including Nsight and DeepStream SDK
• Experience working with computer vision applications
• Familiarity with microscopy, scientific imaging, or other image-intensive data domains
• Experience supporting enterprise-scale machine learning operations and AI platforms

About Market Street Talent

We are a specialized staffing and consulting firm focused on IT and technology positions. Our deep industry knowledge allows us to match exceptional candidates with organizations where they can thrive and make an immediate impact.

Our Vision: To promote and foster the growth of information technology (IT) in our world—one candidate, one client, one community at a time.

Our Goal: To guide clients and candidates through the placement process and build long-term, successful relationships.

Our Culture: At MST, we value excellence, respect, and empathy in everything we do.

Sound like you? Ready for your next challenging IT opportunity? Click "Apply Now!"

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