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Freelance Spacex Machine Learning Jobs (NOW HIRING)

The success of the missions at SpaceX depends on the software that you and your team produce ... Experience with machine learning libraries like SciPi and PyTorch * Experience with data ...

The success of the missions at SpaceX depends on the software that you and your team produce ... Experience with machine learning libraries like SciPi and PyTorch * Experience with data ...

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Experience with machine learning libraries like SciPi and PyTorch * Experience with data ...

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128.20K - $154K/yr

SpaceX is actively developing technologies to enable human life on Mars and is seeking a Data ... Preferred : • 1+ years of professional experience in analytics, data science, or machine learning ...

SpaceX was founded under the belief that a future where humanity is out exploring the stars is ... Experience with machine learning libraries like SciPi and PyTorch * Experience with data ...

Data Engineer (Starlink Growth)

Redmond, WA · On-site

$128.20K - $154K/yr

SpaceX is actively developing technologies to enable human life on Mars, and they are seeking a ... Preferred : • 1+ years of professional experience in analytics, data science, or machine learning ...

SR. DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

... SpaceX. Strong C++ software engineering skills and experience applying machine learning (ML) and AI to simulation solutions are key. Python experience is also required. The team consists of world ...

... SpaceX. Strong C++ software engineering skills and experience applying machine learning (ML) and AI to simulation solutions are key. Python experience is also required. The team consists of world ...

... machine learning algorithms and frameworks Company : SpaceX designs, manufactures, and launches rockets and spacecraft to facilitate space exploration. Founded in 2002, the company is headquartered ...

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Freelance Spacex Machine Learning information

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How much do freelance spacex machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for freelance spacex machine learning in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Spacex Machine Learning jobs? The most popular types of Spacex Machine Learning jobs are:
Infographic showing various Freelance Spacex Machine Learning job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Nights. Highlights an 29% Physical, 11% Hybrid, and 60% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Senior Software Engineer (Machine Learning)

Senior Software Engineer (Machine Learning)

Valor Equity Partners

Chicago, IL

$126.20K - $166.40K/yr

Other

Posted 9 days ago


Job description

About Valor:

Valor Equity Partners is a different kind of private investment firm. We pioneered the idea of operational growth. We work side-by-side, shoulder-to-shoulder, to help grow the operations of great companies solving the world's biggest problems. We invest in technology and technology-enabled companies that innovate and disrupt existing industries - from biosciences to transportation to food to health and wellness. We've had the honor of serving some of the world's greatest entrepreneurs and companies, including Tesla, SpaceX, Anduril, Eight Sleep, GoPuff, and others.

Our values are core to all we do. These values are excellence, humility, integrity, and responsibility.

Valor means that we:

  • Strive for excellence in everything we do;
  • Maintain our humility and mutual respect no matter what circumstances we encounter;
  • Insist upon the highest level of integrity in our interactions and in the logic of our investment process; and
  • Demonstrate responsibility and dedication to all of our constituents.

About the Team:

On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making process. As a small team of software engineers and data scientists with diverse backgrounds, we work collaboratively on wide-ranging problems to deliver high-impact products for the Firm.

About the Role:

As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and stakeholders, you will translate complex project requirements into actionable technical solutions and work collaboratively to build, deploy, monitor, and maintain those solutions in production. Your technical expertise and commitment to excellence will help drive the adoption of best practices and ensure the highest level of rigor in everything we do.

About You:

  • B.S. in Computer Science or related field
  • 5+ years of experience developing production-ready software systems
    • Although not necessary, prior work experience in financial services is highly valued
  • Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
  • Proficient with Python, especially machine learning libraries like NumPy, Pandas, Scikit-Learn, and PyTorch
  • Proficient with SQL, including transactional (e.g., PostgreSQL) and analytical (e.g., BigQuery) databases
  • Professional experience with most, if not all, of the following:
    • Containerization (e.g., Kubernetes and Docker)
    • Data processing (e.g., Prefect, Airflow, and dbt)
    • Parallel processing (e.g., Ray, Dask, and Spark)
    • Cloud infrastructure (e.g., Google Cloud Platform)
    • Continuous integration/continuous deployment (e.g. GitHub Actions)
    • Infrastructure as code (e.g., Terraform)
    • Tools to support machine learning operations (e.g., MLFlow and DVC)
  • Humble, hard-working, and collaborative