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Remote Spacex Machine Learning Jobs in Miami, FL

This is a remote role for someone based in Florida. Role Summary We are seeking a hardworking ... Become known as a thought-leader in machine learning and predictive analytics. * Expand ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior AI Engineer

Miami, FL · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Software Engineer - Web3

Miami, FL · Remote

$150K - $250K/yr

... is a fully remote role for N America based candidates. Salary range: 150-250K USD base plus ... Write production smart contracts across multiple virtual machines (EVM, SVM, TVM, and emerging alt ...

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

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Remote Spacex Machine Learning information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

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

As of Jul 17, 2026, the average yearly pay for remote spacex machine learning in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What does a Remote SpaceX Machine Learning Engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are some unique challenges of working remotely as a Machine Learning Engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

What are the key skills and qualifications needed to thrive as a Remote SpaceX Machine Learning Engineer, and why are they important?

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.
What are the most commonly searched types of Spacex Machine Learning jobs in Miami, FL? The most popular types of Spacex Machine Learning jobs in Miami, FL are:
What job categories do people searching Remote Spacex Machine Learning jobs in Miami, FL look for? The top searched job categories for Remote Spacex Machine Learning jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Spacex Machine Learning jobs? Cities near Miami, FL with the most Remote Spacex Machine Learning job openings:
SEM Coordinator

$35K - $45K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

SEM Coordinator

See What We’re All About

We serve both businesses and consumers through our B2B and B2C divisions, helping repair technicians, manufacturers, home warranty providers, and DIYers get the parts they need—fast and securely. As Parts Town Home, we’re part of the powerhouse Parts Town family, bringing innovation, exceptional service, and a commitment to a safe and efficient work environment in the residential parts space.

First and foremost, we’re looking for people who live our core values and prioritize customer service—that’s key. But we also value enthusiasm, integrity, and the courage to embrace change—all while keeping safety at the heart of everything we do.

We’re interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us growing, innovating, and ensuring a safe, supportive workplace for all team members.

We’re proud to be recognized for our growth and innovation, and we’re always looking for driven team players who are ready to roll up their sleeves, go the extra mile, and help maintain a culture where safety and excellence go hand in hand. If that sounds like you, let’s talk—Apply Today!

The Job at a Glance

We are a growing, dynamic company with a dedicated team of eCommerce professionals looking for a highly motivated SEM Coordinator to join our marketing team as we continue to grow our B2C eCommerce business across our multiple brands.

Do you want to be part of a team filled with smart, analytical, ambitious teammates who thrive in an evolving work environment and who do not shy away from a challenge? We’re growing, and we are looking for a SEM Coordinator, who strives to be a life-long learner and loves identifying trends.

A Typical Day

  • Creating, monitoring, and reporting on advertising campaigns on platforms such as Google Ads, Microsoft Ads, Facebook and more.
  • Monitoring and managing advertising accounts: Regularly optimizing our campaigns using both growth and efficiency industry best practices.
  • Creating and testing your own unique ideas to improve overall quality and success of our campaigns. Using data to determine when to pivot account strategic decisions and deliver actionable insights.
  • Staying on top of industry trends and adapting to new best practices.
  • Reporting on project performance and how it relates to our greater strategy (using Excel, Looker Studio, and Google Analytics)

To Land This Opportunity

  • You have a bachelor’s degree or equivalent in Economics, Computer Science, Marketing, Business, or a related field.
  • You have experience in paid search marketing (Google Ads, Microsoft Ads, Facebook, etc.)
  • You have strong analytics, problem solving, and systems analysis skills
  • You have organizational and time-management skills
  • You have strong written and verbal communication skills
  • You have experience with MS Excel – comfortable working with large spreadsheets, pivot tables, formulas
  • You have statistical reasoning
  • You have experience in statistics or game theory
  • You have knowledge of machine learning and automation
  • You have familiarity with Looker Studio, and Google Analytics
  • This is a 100% remote position. 
  • You live in one of these states: Florida, Georgia, or Texas

At Encompass, we value transparency and are committed to ensuring our team members feel appreciated and supported.   We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $35,000 - $45,000 annually based on including but not limited to qualifications, experience, and geographical location. Encompass is a pay for performance-company. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid holidays, paid parental leave, and professional development opportunities.

Encompass Supply Chain Solutions, LLC, welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.