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Internship Spacex Machine Learning Jobs in Boston, MA

Gentuity LLC

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Job Type Internship Description You will work with an experienced engineering team working on ... Work in close collaboration with Gentuity's software and machine learning teams, system engineers ...

1910

AI Research Scientist I

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

1910

AI Research Scientist I

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

1910

AI Research Scientist I

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

... machine learning, computer science, or related discipline. * At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning. Other Requirements * Research Interns ...

1910

AI Research Scientist I

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

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Internship Spacex Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do internship spacex machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship spacex machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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

AspectInternship Spacex Machine LearningData Science Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some experience in MLStatistics, programming, data analysis skills, often a related degree
Work EnvironmentHands-on projects in aerospace, collaborative teams, fast-pacedData analysis, modeling tasks, diverse industries, team-based
Employer & Industry UsageSpaceX, aerospace, technology innovationVarious industries including tech, finance, healthcare

Internship Spacex Machine Learning focuses on applying ML techniques to aerospace challenges at SpaceX, emphasizing engineering and technical skills. Data Science Internships are broader, covering data analysis and modeling across multiple industries. Both roles require programming and analytical skills but differ in industry focus and project scope.

Does SpaceX hire interns?

Yes, SpaceX offers internship programs in various fields including engineering, manufacturing, and software development. Internships typically require students to be enrolled in a related degree program and may involve hands-on projects with mentorship and competitive application processes.

What are the most commonly searched types of Spacex Machine Learning jobs in Boston, MA?

The most popular types of Spacex Machine Learning jobs in Boston, MA are:

What are popular job titles related to Internship Spacex Machine Learning jobs in Boston, MA?

For Internship Spacex Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Internship Spacex Machine Learning jobs in Boston, MA look for?

The top searched job categories for Internship Spacex Machine Learning jobs in Boston, MA are:

Internship Spacex Machine Learning jobs near you
Infographic showing various Internship Spacex Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Product Engineering Internship, Simulation and Verification (Fall 2026)

Cadence Design Systems, Inc.

Burlington, MA • On-site

$35 - $55/hr

Full-time

Re-posted 26 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Product Engineering Internship, Simulation and Verification (Fall 2026)
This PE Internship will be based out of our Burlington office during the Fall Semester. Applicants should be local to the area in order to be available onsite.
Responsibilities:
  • As a Product Engineering intern, you will get the opportunity to work on the simulation and verification-validation testing of high-speed digital systems.
  • Simulate PCBs and packages in commercial 2.5D electromagnetics simulators to extract models and subsequently, impedance profiles; perform time domain analysis
  • Provide feedback to developers on simulation tool usage

Requirements:
  • Currently enrolled as student pursuing MSEE or equivalent
  • Experience or course work in electromagnetics, optimization, signal processing and system analysis, and channel theory or associated courses.
  • Experience using signal integrity analysis and extraction tools (Cadence Sigrity, ADS, HFSS)
  • Interest, or have experience in machine learning is a plus.
  • Must be available to work onsite in Burlington office 40 hours a week. This role is not remote.

The hourly range for Masachusetts is $35 to $55 per hour. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Please note that the hourly range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.
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