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Machine Learning Intern Jobs in Kentucky (NOW HIRING)

$80 - $100/hr

Intern Job Code: A229465 Share this listing: Responsibilities * The Recommendation Foundation team ... Solid foundation in machine learning and deep learning, with strong interest in LLMs and generative ...

$250/hr

Cupertino, California, United States Machine Learning and AI Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of ...

$150 - $200/hr

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department and is responsible for establishing the development practices, standards, and platform foundations ...

$150 - $200/hr

Overview As a machine learning engineer in the Economics team, you will build state-of-the-art ... Intern experience in related roles. * Experience with large language models and generative AI, both ...

$150 - $200/hr

Overview As a machine learning engineer in the Economics team, you will build state-of-the-art ... Intern experience in related roles. * Experience with large language models and generative AI, both ...

Overview This is an intern level position at the LG&E and KU Generation Services System Laboratory located in Ghent, KY. Student will gain experience and exposure to the lab including receiving ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 21-40

Machine Learning Intern information

See Kentucky salary details

$22.1K

$37K

$76.4K

How much do machine learning intern jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning intern in Kentucky is $36,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,200.00 and $40,000.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What are the most commonly searched types of Machine Learning jobs in Kentucky?

The most popular types of Machine Learning jobs in Kentucky are:

What are popular job titles related to Machine Learning Intern jobs in Kentucky?

For Machine Learning Intern jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Kentucky look for?

The top searched job categories for Machine Learning Intern jobs in Kentucky are:

What cities in Kentucky are hiring for Machine Learning Intern jobs?

Cities in Kentucky with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $36,985 per year, or $17.8 per hour.

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

TikTok

On-site

$80 - $100/hr

Other

Medical, Life

Posted 21 days ago


Key responsibilities

  • Build shared Recommendation Foundation Models across scenarios within TikTok's Data - Global E-commerce organization.

  • Explore and develop event-sequence-driven generative recommendation paradigms integrating large language and vision-language models, multimodal understanding, reinforcement learning, and system optimization.

  • Propose hypotheses, validate ideas, and contribute code and research to shape the next generation of recommendation systems.


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

105th of 247 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

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