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Internship Tesla Machine Learning Engineer Jobs in Nebraska

Isys Technologies

Journeyman Data Scientist

Omaha, NE · On-site

$90K - $125K/yr

Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets ...

Isys Technologies

Journeyman Data Scientist

Omaha, NE

$90K - $125K/yr

Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets ...

Monitise

Principal, Data & AI Platform Engineer

Omaha, NE · On-site

$109K - $131K/yr

Machine Learning & LLM Enablement (OnPrem) * Design and deploy onprem ML and LLM solutions for ... Develop ML pipelines for feature engineering, training, validation, and inference using ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Deckers

Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ... Strong AWS data engineering expertise including scalability, reliability, and cost optimization

Agile Defense

Data Scientist

Omaha, NE

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

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

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 job categories do people searching Internship Tesla Machine Learning Engineer jobs in Nebraska look for? The top searched job categories for Internship Tesla Machine Learning Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Internship Tesla Machine Learning Engineer jobs? Cities in Nebraska with the most Internship Tesla Machine Learning Engineer job openings:
Internship Tesla Machine Learning Engineer jobs near you

Journeyman Data Scientist with Security Clearance

I2X Technologies

Omaha, NE • On-site

Other

Posted 20 days ago

Job description

Minimum Clearance Required Secret Responsibilities Journeyman Data Scientist: A Journeyman Data Scientist is typically a mid-level professional who works independently on data science projects, develops predictive models, analyzes complex datasets, and collaborates with stakeholders to support business decisions. Job Duties * Collect, clean, and prepare structured and unstructured data from multiple sources. * Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. * Develop, test, and deploy machine learning and statistical models. * Create predictive analytics solutions to support operational and strategic objectives. * Design and maintain data pipelines and analytical workflows. * Build dashboards, reports, and visualizations to communicate findings. * Validate model performance and recommend improvements. * Conduct data quality assessments and ensure data integrity. * Document methodologies, code, and analytical processes. * Support business units by translating complex data into actionable insights. Qualifications Technical Responsibilities * Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets using cloud and big data platforms. * Optimize model accuracy, scalability, and performance. * Implement model monitoring and maintenance procedures. Business Responsibilities * Partner with business stakeholders to understand requirements and objectives. * Present findings and recommendations to technical and non-technical audiences. * Support data-driven decision-making across departments. * Identify opportunities for process improvement and automation. Team Responsibilities * Collaborate with data engineers, software developers, analysts, and project managers. * Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing activities. * Follow organizational standards, governance, and security requirements. Required Experience Clearance Required: Secret or TS/SCI (not sure on this yet) Education * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. * Master's degree preferred for some organizations. Professional Experience * Typically 3-7 years of experience in data science, analytics, machine learning, or a related field. * Experience working with large-scale datasets and production environments. * Proven track record of delivering analytical solutions that drive business outcomes. Technical Skills * Programming: Python, R, SQL. * Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost. * Data Visualization: Tableau, Power BI, Matplotlib, Plotly.

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