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Remote Spacex Machine Learning Jobs in Tempe, AZ

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure * Develop ...

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Exposure to and familiarity with common statistical and machine learning techniques. * Substantial ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

... machine learning or statistical analysis, data engineering and data visualization related work. Communication Skills Excellent written and verbal communication skills. Strong organizational and ...

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote ... Exposure to AI and machine learning tools and their application to business problems or operational ...

Showing results 41-60

Remote Spacex Machine Learning information

See Tempe, AZ salary details

$24.4K

$40.8K

$84.3K

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

As of Aug 7, 2026, the average yearly pay for remote spacex machine learning in Tempe, AZ is $40,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 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?

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 job categories do people searching Remote Spacex Machine Learning jobs in Tempe, AZ look for? The top searched job categories for Remote Spacex Machine Learning jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Remote Spacex Machine Learning jobs? Cities near Tempe, AZ with the most Remote Spacex Machine Learning job openings:

Lead Engineer, Data Platforms

Dutchbros

Tempe, AZ • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 15 days ago


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This individual will be responsible for modernizing, integrating, and optimizing Dutch Bro's foundational data ecosystem. This individual will play a crucial role in building world-class data platforms that power analytics, machine learning, and AI-driven workflows and will be responsible for designing and implementing highly scalable and resilient data infrastructure. The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively. This is a great opportunity for someone who thrives in an evolving environment, is eager to learn, and is ready to contribute innovative ideas. If you're humble, hungry, and excited to grow your skills, we'd love to have you join our team!
Job Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related study, or 4 years of experience, required

  • 7+ years of data and/or software engineering experience, with at least 4 years focused on backend distributed systems or data infrastructure at scale.

  • Deep Engineering Roots: You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and SQL experience.

  • Hands-on expert-level knowledge and experience with Snowflake (Snowpipe, SnowSQL, replication, data-sharing), Airflow, and Power BI for production-grade data solutions.

  • Mastery of AWS services (IAM, VPC, Glue, S3, SFTP, Lambda, CloudWatch, SNS) , Gitlab CI/CD, DataDog Monitoring/alerting.

  • Real-time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT.

  • Expertisein implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines.

  • Nice to have - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines.

  • Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute-based data security.

  • Snowflake administration knowledge, preferred.

  • Knowledge and experience with Data Governance - Data Quality, Metadata management, Data Security, Data Archive is preferred.

  • Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.

  • Excellent communication for conveying technical concepts to non-technical stakeholders.

  • Proven ability to work collaboratively in cross-functional teams.

  • Adaptable and proactive in learning new technologies in a dynamic data environment.

  • Strong time management skills to handle multiple projects and ensure high-quality deliverables.


Location Requirement:
This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY)
Key Result Areas (KRAs):

Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect, store, process, and analyze vast amounts of data efficiently and effectively:

  • Seamless Snowflake Implementation: Successfully develop and deploy production-grade data solutions on Snowflake, databricks or similar tools Optimized Data Pipelines: Design and enhance ETL/ELT pipelines and datatransformations for efficiency, supporting advanced analytics and real-time dataprocessing with technologies such as Kafka, fivetran, databricks , and Matillion or leveraging pyspark

  • High-Quality Data Models: Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad-hoc analysis, reporting, and visualization

  • Advanced Analytics Support: Develop and maintain data engineering frameworksthat support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights

  • Effective Communication and Collaboration: Articulate complex technical concepts clearly to non-technical stakeholders and collaborate effectively with cross-functional teams to drive project success and meet business objectives


Skills:

  • Data engineering

  • Functional Expertise

  • Data modeling

  • Data management and data governance

  • Leading by Influence

  • Detail-Oriented

  • Multitasking

Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions.

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!