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Internship Spacex Machine Learning Jobs (NOW HIRING)

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA

$160K - $225K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

SpaceX

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... internship experience is applicable) * Experience in analytics, data science, or machine learning ...

SpaceX

Data Scientist (Starlink)

Redmond, WA · On-site

$145K - $175K/yr

DATA SCIENTIST (STARLINK) At SpaceX, we're leveraging our experience in building rockets and ... internship experience is applicable) * Experience in analytics, data science, or machine learning ...

Instacart

OR · On-site

Prior industry or research internship in machine learning or AI * Interest and experience in translating research ideas into scalable production systems

SpaceX

Sr. Data Engineer (Starlink Growth)

Redmond, WA · On-site

$160K - $225K/yr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

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Internship Spacex Machine Learning information

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$25.5K

$42.6K

$88K

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

As of May 30, 2026, the average yearly pay for internship spacex machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

How hard is it to get an internship at SpaceX?

Getting an internship at SpaceX is competitive, with applicants often having strong academic records, relevant technical skills in areas like engineering or machine learning, and prior project experience. The selection process includes multiple interviews and assessments, and candidates typically need to demonstrate problem-solving abilities and a passion for aerospace technology.

How much do SpaceX interns get paid?

SpaceX internships typically offer stipends or hourly pay, with compensation varying based on location, role, and experience. Interns often work full-time during the summer or part-time during the academic year and may receive additional benefits such as housing assistance or transportation stipends.

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.

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Internship Spacex Machine Learning jobs near you
Infographic showing various Internship Spacex Machine Learning job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 33% Part Time, and 7% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer Intern - Research

Good At Numbers

Remote

$30/hr

Internship

Posted 16 days ago

Job description

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are looking for someone who can help us push both the research quality and production quality of our ML systems forward.
We are hiring a Machine Learning Engineer Intern for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $30/hour.
This role sits at the intersection of ML research, software engineering, and MLOps. You will work on problems related to retrieval, context construction, model/tool orchestration, evaluation, monitoring, and the productionization of AI systems. This is a strong fit for someone who can move from experiments to production code and who wants to work on real product problems instead of isolated notebooks.
What you'll work on
  • Design and run experiments across areas such as retrieval, ranking, context construction, tool use, grounded generation, model evaluation, anomaly detection, forecasting, or optimization workflows
  • Improve the quality, reliability, latency, and observability of ML and LLM-driven features
  • Build reproducible evaluation workflows for model behavior, answer quality, grounding, failure analysis, and regression testing
  • Help productionize research work through pipelines, APIs, services, monitoring, versioning, and deployment workflows
  • Improve MLOps practices around experiment tracking, prompt/model versioning, dataset versioning, testing, rollout safety, and post-deployment monitoring
  • Collaborate closely with software and platform engineers to ship ML systems that are useful, measurable, and production-ready

What success looks like by the end of the internship
  • At least one meaningful ML or LLM system is measurably improved in quality, reliability, or latency
  • Research work is backed by reproducible evaluation and monitoring rather than one-off experimentation
  • The path from experiment to production is cleaner, faster, and safer

What we're looking for
  • 3-4 years of relevant experience preferred through research labs, internships, startups, open-source work, or production ML systems
  • Strong software engineering ability and strong comfort writing production-quality code
  • Strong Python skills preferred
  • Experience with machine learning experimentation, evaluation, and debugging preferred
  • Experience with LLMs, retrieval systems, vector search, ranking, prompt/tool workflows, or agent-style systems preferred
  • Experience with MLOps practices such as experiment tracking, versioning, model testing, deployment, and monitoring preferred
  • Comfort with statistics, error analysis, benchmarking, and translating ambiguous research ideas into shippable systems
  • Strong communication and the ability to document tradeoffs, assumptions, and results

Nice to have
  • Experience with PyTorch, Transformers, or modern ML tooling
  • Experience with vector databases, RAG systems, or evaluation harnesses
  • Experience with time-series forecasting, causal analysis, anomaly detection, or optimization systems
  • Experience with Docker, Kubernetes, cloud infrastructure, or batch/orchestration systems
  • Publications, benchmark work, or strong public repos/writeups

Work authorization
Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship.
We welcome applicants from all backgrounds and evaluate candidates based on technical depth, execution, communication, and fit for the role.

Apply