1

Internship Tesla Machine Learning Engineer Jobs in Kentucky

$68 - $97/hr

Our dynamic internship experience blends hands-on learning, enriching community-building and ... Engineering, Mathematics, Statistics or a related discipline. * Solid foundation in machine ...

$150 - $210/hr

The Role As a Machine Learning Engineer in computer vision, you will own vision work from data and baseline design through training, error analysis, model export, runtime profiling, and pilot ...

$325 - $397/hr

... Machine Learning Engineer who can drive further innovation. About the Role The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in ...

New

$201 - $212/hr

We are looking for a Senior Machine Learning Engineer to help build the next generation of platforms for understanding, observing, and predicting inventory levels and in-store stocking dynamics in ...

Posted today

$140 - $190/hr

As a Senior Machine Learning Operations Engineer you'll be embedded in a team of talented data scientists and software engineers to create sophisticated models that answer hard questions centered ...

$201 - $254/hr

We are looking for a Senior Machine Learning Engineer to help build the next generation of platforms for understanding, observing, and predicting inventory levels and in-store stocking dynamics in ...

Posted today

$140 - $200/hr

JOB OVERVIEW General Mills is looking for a Lead ML Engineer. In this role, you are a technical lead within the AIA team focused on delivering the migration of machine learning-based solutions and ...

New

$185 - $278/hr

Applied Machine Learning Engineer, Platform Architecture Cupertino, California, United States Machine Learning and AI Join the SoC Architecture team building ML and generative AI systems that shape ...

New

$150 - $240/hr

As a Staff Machine Learning Engineer, you will serve as the technical leader for Lime's ML-powered Supply & Fleet Optimization Systems. You will define the long-term technical direction, lead ...

New

$129 - $195/hr

We have a variety of opportunities for software engineers, data scientists, and machine learning ... Previous Apple FDP or ADSP internship is required. Preferred Qualifications * Demonstrate ability ...

$140 - $210/hr

Where You Fit We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and tackle unique machine learning challenges to advance medicine and improve patient ...

$180 - $270/hr

Serve as the team's machine learning authority, communicating complex model trade-offs to leadership and cross-functional teams to translate technical research into practical, scalable engineering ...

$150 - $210/hr

Staff Machine Learning Engineer, Agent Memory & Reasoning (University) Location Employment Type Full time Location Type Remote Department Build the Future Workforce Wand turns AI into labor. It ...

New

$300 - $321/hr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

Posted today

$162 - $234/hr

We're looking for an engineer to help develop and scale the AI infrastructure behind these ... Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Data Science, or ...

Posted today

$185 - $325/hr

Sr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference Santa Clara, California, United States Machine Learning and AI We are the Foundation Model Inference team within ...

$120 - $150/hr

Are you passionate about improving the way Machine Learning systems are developed, deployed, and ... You'll work at the intersection of engineering and data science, playing a key part in shaping how ...

New

$150 - $230/hr

Partner with engineering teams to implement and test models in production environments What we're looking for * PhD in computer science, machine learning, mathematics, physics, statistics, or a ...

Showing results 41-60

Internship Tesla Machine Learning Engineer information

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

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

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

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

Machine Learning Engineer Intern (E-Commerce Recommendation Foundation) - 2027 Start (PhD) San [...]

TikTok

On-site

$68 - $97/hr

Other

Medical, Life

Posted 5 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

108th of 246 rated software companies


Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

Location:

San Jose

Employment Type:

Intern

Job Code:

A229465

Share this listing:

Responsibilities
  • The Recommendation Foundation team within TikTok’s Data – Global E-commerce organization is dedicated to building shared Recommendation Foundation Models across scenarios. We are exploring an event-sequence-driven generative recommendation paradigm that deeply integrates large language and vision-language models (LLMs/VLMs), multimodal understanding, reinforcement learning, and system optimization, advancing recommendation systems beyond click prediction toward general-purpose recommendation agents.We believe the future of recommendation is not only about predicting clicks, but about understanding the relationships between people and content and generating new connections. We value original exploration and encourage research thinking and engineering practice equally. Every team member can propose hypotheses and validate ideas in an open environment; your code and publications may help shape the next generation of recommendation systems. We are looking for people with a general-intelligence mindset to redefine recommendation with us.We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Qualifications

Minimum Qualifications
  • Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline.
  • Solid foundation in machine learning and deep learning, with strong interest in LLMs and generative recommendation.
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch.
  • Self-driven, with a strong research mindset and solid engineering skills.
Preferred Qualifications
  • Experience with pre-training, mid-training, or post-training of LLMs or Foundation Models.
  • Research or project experience in generative recommendation, LLM-native recommendation, or multimodal semantic tokenization.
  • Publications on LLM-related topics at top-tier machine learning or natural language processing conferences, such as NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL, or strong achievements in major technical competitions.

Job Information

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https:\/\/tinyurl.com\/RA-request

#J-18808-Ljbffr

What TikTok employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom