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Machine Learning Astronomy Jobs in Detroit, MI (NOW HIRING)

AI/ML Engineer

Dearborn, MI · On-site

$99.60 - $192.90/hr

Data Engineering & Machine Learning (MLOps): * Data Processing & Databases: Big Data, PySpark, MS ... Vertex AI Endpoints, Batch Inference, and Astronomer. Bachelor's degree in computer science ...

New

Machine Learning Astronomy information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do machine learning astronomy jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning astronomy in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is machine learning astronomy?

Machine learning astronomy is the application of machine learning techniques to analyze and interpret astronomical data. This field combines computer science, statistics, and astronomy to automate tasks such as classifying celestial objects, detecting anomalies, and predicting astronomical events. With the increasing volume of data from telescopes and space missions, machine learning helps astronomers process and extract meaningful insights more efficiently. Researchers in this area develop algorithms that can learn patterns from vast datasets, leading to new discoveries and a deeper understanding of the universe.

What are some common challenges faced by professionals working in machine learning astronomy?

Machine learning astronomers often encounter challenges such as handling extremely large and complex datasets, ensuring data quality, and effectively preprocessing astronomical data to reduce noise and artifacts. Additionally, interpreting model results in a scientific context can be demanding, as it requires both technical expertise and domain knowledge. Collaboration with astronomers, data engineers, and software developers is essential to ensure that machine learning models are both accurate and scientifically meaningful.

What are the key skills and qualifications needed to thrive as a machine learning astronomer, and why are they important?

To thrive as a Machine Learning Astronomer, you need a strong background in astrophysics, statistical analysis, and programming (often with a PhD in a related field). Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and astronomical data systems is essential. Critical thinking, problem-solving, and effective collaboration are key soft skills for innovating solutions and working within research teams. These skills enable the effective analysis of large astronomical datasets, driving new discoveries and advancements in the field.

What is the difference between Machine Learning Astronomy vs Data Scientist?

AspectMachine Learning AstronomyData Scientist
Required CredentialsDegree in Astronomy, Physics, or related fields; knowledge of machine learningDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch institutions, observatories, academiaCorporate, tech companies, consulting firms
Industry UsageAnalyzing astronomical data, developing models for celestial phenomenaBusiness analytics, predictive modeling, data visualization

Machine Learning Astronomy focuses on applying machine learning techniques to astronomical data within research settings, while Data Scientists work across various industries analyzing data to inform business decisions. Both roles require strong analytical skills and programming knowledge but differ in domain focus and work environment.

How is machine learning used in astronomy?

Machine learning astronomy involves applying algorithms to analyze large datasets from telescopes and space missions, enabling tasks such as identifying celestial objects, classifying galaxies, detecting exoplanets, and predicting cosmic phenomena. Professionals in this field often use tools like Python, TensorFlow, and data analysis techniques to interpret complex astronomical data efficiently.

What are popular job titles related to Machine Learning Astronomy jobs in Detroit, MI?

For Machine Learning Astronomy jobs in Detroit, MI, the most frequently searched job titles are:

AI/ML Engineer

Ford

Dearborn, MI • On-site

$99.60 - $192.90/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 2 days ago

New


Job description

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs both on-prem and cloud native. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

Responsibilities

As an AI/ML Engineer, you will join the Product Team, collaborating closely with Product Managers, Product Designers, Data Scientists and fellow engineers to deliver impactful analytic solutions. In this role, you will take ownership of the full technical lifecycle, handling both the end-to-end development and the ongoing support and maintenance of these solutions.

You’ll work across the full-stack technologies to enable the highest priority work to be delivered. Within this highly collaborative environment, you will:

  • Provide thought leadership across the greater Ford community
  • Define, design, develop, and deploy applications/services
  • Perform design review, code review and mentor junior team members
  • Create proof-of-concepts to test business ideas with working software
  • Use Agile principles and software craftmanship practices to sustainably and efficiently engineer software
  • Collaborate with product managers, product designers, product owners, data scientists, and other software engineers to define product direction
  • Integrate with other Ford systems and business processes to create new digital experiences
  • Partner with software engineers and data scientists from other teams to build solutions with proven value
Qualifications
  • 5+ years' experience in Software Engineering.
  • Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.
  • 1+ year experience with developing for and deploying to cloud platforms (e.g. GCP, PCF, Azure)
  • Implement and optimize cloud services and tools (e.g. Terraform, BigQuery, GCP)
  • Build and maintain the foundational systems that power scalable, reliable, high-performance environments while also developing the intelligence layer that transforms data into actionable insights through machine learning. Develop internal frameworks, APIs, and developer tools using:
  • Core Software Engineering:
  • Languages & Methodologies: Java, Python, SQL (or similar major programming languages), and Test-Driven Development (TDD).
  • GCP Architecture: Google Cloud Platform services including Cloud Run, Google Cloud Storage (GCS), Kubernetes Engine (GKE), Cloud SQL, Cloud IAM, and BigQuery.
  • Infrastructure & Operations: Infrastructure as Code (IaC), Terraform.
  • DevOps, Reliability & Security:
  • CI/CD & Containers: Jenkins, Tekton, GitHub Actions, Git/GitHub, Docker, Podman, Cloud Build and Deploy, and Artifact Registry.
  • Monitoring: Splunk, Dynatrace, Grafana, Apigee, and Cloud Logging.
  • DevSecOps: SonarQube, Fossa, Cycode, and Checkmarx.
  • Data Engineering & Machine Learning (MLOps):
  • Data Processing & Databases: Big Data, PySpark, MS SQL Server, PostgreSQL, and MySQL.
  • ML Training: Google Vertex AI (Studio, Training, Model Registry), XGBoost, and CatBoost.
  • Pipelines & Workflows: Oozie workflows, Apache Airflow, and Astronomer.
  • Production Integration: Vertex AI Endpoints, Batch Inference, and Astronomer.

Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7-8 and ranges from $99,600-$192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

About Us

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

About the Team

We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves.

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Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982