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Aviation Machine Learning Jobs (NOW HIRING)

Senior Software Engineer (AI/ML)

San Francisco, CA · On-site

$144K - $190K/yr

You will work at the intersection of machine learning, aviation data, and distributed systems--building production-grade AI solutions that combine generative AI, telemetry data, and domain expertise.

Technical Program Manager

Seattle, WA · On-site

$146K - $190K/yr

Experience working with machine learning or AI systems * Experience supporting infrastructure or platform engineering teams * Experience in aviation, robotics, or autonomy systems * Experience ...

Senior Software Engineer (AI/ML)

$125K - $165K/yr

You will work at the intersection of machine learning, aviation data, and distributed systems-building production-grade AI solutions that combine generative AI, telemetry data, and domain expertise.

Demonstrated experience in data science, machine learning, statistics, or quantitative analysis, preferably in aviation, engineering, or related technical domains. * Proficiency with data science ...

Responsibilities : • Design, develop, and deploy AI agents and machine learning models to solve ... aviation and much more. Founded in 1969, the company is headquartered in Toulouse, Occitanie, FR ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

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How much do aviation machine learning jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for aviation machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Aviation Machine Learning, and why are they important?

To thrive in Aviation Machine Learning, you need strong expertise in machine learning, data analysis, and a background in aerospace engineering or computer science, often with an advanced degree. Familiarity with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and aviation-specific simulation tools is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help bridge technical solutions with operational aviation needs. These skills are vital for developing reliable, safe, and innovative AI solutions that enhance efficiency and safety in the aviation industry.

How does an Aviation Machine Learning specialist typically collaborate with other teams within an airline or aerospace company?

Aviation Machine Learning specialists often work closely with cross-functional teams, including software engineers, data scientists, aviation operations experts, and maintenance crews. Collaboration is essential for integrating machine learning models into flight operations, predictive maintenance, and safety systems. Specialists frequently participate in meetings to align project goals, share data insights, and ensure their solutions meet regulatory and operational standards. This collaborative environment not only drives innovation but also provides opportunities for continuous learning and career development.

What is aviation machine learning?

Aviation machine learning refers to the application of machine learning techniques and artificial intelligence in the aviation industry. These technologies are used to improve flight safety, optimize operations, predict maintenance needs, and enhance passenger experiences. Machine learning models can analyze large amounts of data from aircraft, air traffic, and weather to assist in decision-making and automation. By leveraging these tools, airlines and manufacturers can reduce costs, increase efficiency, and minimize risks.

What is the difference between Aviation Machine Learning vs Aircraft Data Analyst?

AspectAviation Machine LearningAircraft Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of ML frameworksDegree in Aviation, Data Analysis, or related field; proficiency in data tools
Work EnvironmentTech-focused teams, R&D departments, aviation tech companiesAirlines, maintenance organizations, aviation service providers
Industry UsageDeveloping predictive models for flight optimization, safety, and maintenanceAnalyzing aircraft performance data, maintenance logs, and operational metrics

While both roles involve data analysis within the aviation industry, Aviation Machine Learning focuses on developing machine learning models to improve safety and efficiency, whereas Aircraft Data Analysts interpret aircraft data to support maintenance and operational decisions. The roles often overlap but differ in technical scope and application.

Infographic showing various Aviation Machine Learning job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Operations Engineer (Starlink Aviation)

Operations Engineer (Starlink Aviation)

SpaceX

Woodinville, WA • On-site

$77K - $105K/yr

Full-time

Posted 14 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

13th of 59 rated aerospace companies


Job description

Job Summary:
SpaceX is a pioneering company focused on making human life on Mars a reality through advanced technologies. They are seeking an Operations Engineer to ensure the performance and reliability of aviation processes, working on troubleshooting, data analysis, and process improvement for the Starlink aviation fleet.
Responsibilities:
• Lead technical investigations with tight timelines by diving into isolated or fleet-wide performance or reliability issues which affect our customers and present findings to executives
• Build and maintain critical infrastructure, tools, processes, and custom software to objectively assess the performance and reliability of Starlink aviation hardware
• Apply data science and statistical inference skills to analyze data and build models that help improve customer experience and drive business growth and operational efficiencies
• Develop tooling and operational processes to drive improvements to customer experience, time to resolution of customer issues, and enable efficient hardware processing and troubleshooting
• Build and maintain data pipelines, automated metric aggregation, and dashboards to give visibility and alert on performance and reliability metrics
• Drive positive business outcomes across disciplines including engineering, production, test, inventory, quality, supply chain, and customer experience
Qualifications:
Required:
• Bachelor’s degree in engineering, computer science, data analysis, or other STEM discipline
• 1+ years of experience with SQL
• 1+ years of experience with data analysis in Python/R
Preferred:
• 1+ years of experience with Bash scripting
• Strong coding skills: clean, efficient, and well-documented code with a foundation in software design principles
• Familiarity with data science and machine learning fundamentals (regression, classification, clustering, anomaly detection)
• Strong analytical skills: statistical analysis, data visualization, and quantitative reasoning
• Experience building predictive models and analytics pipelines
• Experience with developing and deploying tools used for data analysis
• Experience in a technical operational role under the pressure of a live service or production environment
• Excellent written and verbal communication skills, ability to make presentations to engineers, team members, internal customers, and management
• Proven ability to build efficient analytics pipelines and applications
• Experience in electrical, RF, Wi-Fi, and network engineering
• Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
• Ability to identify customer needs, gather requirements, and execute independently
• Ability to take on projects that require initiative and developing new expertise
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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