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Internship Tesla Artificial Intelligence Jobs (NOW HIRING)

... Artificial Intelligence, Machine Learning, or Data Visualization. Work Experience * Required: Experience developing reports, dashboards, or data visualization through academic projects, internships ...

Skillbridge Internship

$15.25 - $20.50/hr

Our internship programs are designed to lead directly to job placement upon your separation from ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Internship Tesla Artificial Intelligence information

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How much do internship tesla artificial intelligence jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship tesla artificial intelligence in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Tesla Artificial Intelligence vs Data Science Intern?

AspectInternship Tesla Artificial IntelligenceData Science Intern
Required CredentialsRelevant coursework in AI, machine learning, programming skillsStatistics, programming, data analysis knowledge
Work EnvironmentResearch-focused, innovative tech setting at TeslaData analysis, modeling in corporate or research settings
Employer & Industry UsageTesla, automotive, AI, tech industryVarious industries including tech, finance, healthcare
Common Search & Comparison IntentUnderstanding AI internship roles at TeslaExploring data science internship opportunities

Internship Tesla Artificial Intelligence and Data Science Intern roles share similarities in technical skills and work environments but differ mainly in focus. Tesla's AI internships emphasize machine learning, robotics, and autonomous systems, while Data Science Internships focus on data analysis, statistical modeling, and insights. Both roles are valuable entry points into tech industries, but they cater to different skill sets and career paths.

More about Internship Tesla Artificial Intelligence jobs
What cities are hiring for Internship Tesla Artificial Intelligence jobs? Cities with the most Internship Tesla Artificial Intelligence job openings:
What are the most commonly searched types of Tesla Artificial Intelligence jobs? The most popular types of Tesla Artificial Intelligence jobs are:
What states have the most Internship Tesla Artificial Intelligence jobs? States with the most job openings for Internship Tesla Artificial Intelligence jobs include:
Infographic showing various Internship Tesla Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 242 rated software companies


Job description

Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10051426
Description & Requirements
Bloomberg's Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you'll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg's business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
You'll have the opportunity to:
  • Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
  • Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
  • Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
  • Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
  • Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.

You'll need to have:
  • Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
  • 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
  • Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
  • Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
  • Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
  • A creative, rigorous approach to developing and testing novel methods and technologies.
  • A track record of authoring publications in top conferences and journals is a strong plus.

We offer you:
  • A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
  • State of the art tech stack to support your day-to-day activities.
  • Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
  • The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981