2

Remote Spacex Machine Learning Jobs in Utah (NOW HIRING)

AI Engineer

Salt Lake City, UT · On-site +1

$101K - $159K/yr

... machine learning and deep learning models. Ability to build and deploy MCP servers to provide LLMs with secure, standardized access to local and remote tools.. * Applicant should have experience in ...

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... Remote employees will be expected to travel to an office periodically.

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Establish financial visibility and governance models for AI and machine learning workloads ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

Exposure to data science, forecasting, or machine learning workflows. * Experience with Power BI or ... Dollar for dollar 401K match of 6%. * Flexible work hours, hybrid schedules with remote work ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

New

next page

Showing results 1-20

Remote Spacex Machine Learning information

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 Utah? The most popular types of Spacex Machine Learning jobs in Utah are:
What job categories do people searching Remote Spacex Machine Learning jobs in Utah look for? The top searched job categories for Remote Spacex Machine Learning jobs in Utah are:
What cities in Utah are hiring for Remote Spacex Machine Learning jobs? Cities in Utah with the most Remote Spacex Machine Learning job openings:
Infographic showing various Remote Spacex Machine Learning job openings in Utah as of June 2026, with employment types broken down into 32% Full Time, 28% Part Time, and 40% Contract. Highlights an 100% Remote job distribution.
Senior Staff Enterprise Architect - Agentic AI

Senior Staff Enterprise Architect - Agentic AI

Bread Financial

Draper, UT • On-site, Remote

$178K - $416K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Bread Financial rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here.

Job Summary

The Senior Staff Enterprise Architect will define and drive the organization's architectural vision and roadmap for enterprise use-cases in the following areas: Agentic AI, GenAI, Machine Learning, Data strategies for AI needs. This role will also play a pivotal role in aligning IT strategies with long-term business objectives and contribute to the architectural vision for enterprise platforms used to govern and oversee AI implementations.


Essential Job Functions

  • Serve as the technical liaison between business units and IT departments. - (20%)

  • Establish and enforce architectural best practices and standards. - (20%)

  • Define the enterprise AI reference architecture including GenAI/Agentic AI patterns, agent frameworks, ML pipelines, data foundations and AI services. - (15%)

  • Shape AI adoption roadmap balancing innovation with architectural integrity and operational readiness. - (10%)

  • Align AI initiatives with business capabilities, value streams and enterprise architecture standards. - (10%)

  • Lead efforts to modernize and streamline legacy architecture. - (10%)

  • Provide executive-level presentations on architecture initiatives. - (10%)

  • Lead independent research on upcoming AI technologies, their usage patterns and industry impacts. - (5%)


Minimum Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field of study or equivalent, relevant work experience.

  • 12+ years of experience in architecture and IT strategy roles.

  • 2+ years of experience leading large-scale transformation projects.

  • 1+ years of experience influencing AI-related enterprise directions.


Preferred Qualifications

  • AWS Solutions Architect

  • TOGAF Certification

  • Cloud Technologies

  • 3+ years of experience in AI-related architecture.


Skills

  • Artificial Intelligence (AI)

  • Agentic AI

  • Databricks Platform

  • Machine Learning Operations

  • Data Analysis

  • AWS AI Services


Reports To: Senior Manager and above
Direct Reports: 0
Work Environment

  • Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a posted Bread Financial location.


Travel

  • Ability to travel up to 20% annually


Physical and Mental Requirements
To perform this job successfully, an individual must be able to perform each essential job function satisfactorily and meet the physical, mental and work environment requirements. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions, absent undue hardship.

  • Communicate/Hearing

  • Communicate/Talking

  • Typing/Writing

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

Salary Range (unless otherwise noted below):

$155,600.00 - $333,300.00

Full Salary Range for position:

California: $178,900.00 - $416,600.00Colorado: $155,600.00 - $349,900.00New York: $171,100.00 - $416,600.00Washington: $163,300.00 - $383,300.00Maryland: $163,300.00 - $366,600.00Washington DC: $178,900.00 - $383,300.00Illinois: $155,600.00 - $366,600.00New Jersey: $178,900.00 - $383,300.00Vermont: $155,600.00 - $333,300.00Ohio: $155,600.00 - $333,300.00Maine: $155,600.00 - $333,300.00

The actual base pay within this range may be dependent upon many factors, which may include, but are not limited to, work location, education, experience, and skills.

Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability) to eligible associates (regular full-time associates scheduled to work 30 hours per week or more) and their spouses/domestic partners, and child(ren) under the age of 26. New associate elected coverage begins on date of hire (with the exception of disability coverage which has a 6-month waiting period). Six weeks of 100% paid parental leave for eligible parents is available after a 180-day waiting period. Hired associates can immediately enroll in Bread Financial's 401(k) plan.

All associates receive 11 paid holidays. Associates have discretion in managing their time away from work through the Flexible Time Off (FTO) program and may need to notify and receive approval from their manager prior to taking the time off. Associates (except those located in Illinois) receive 80 hours of Paid Sick and Safe Time ("PSST") upon hire and at the beginning of each subsequent calendar year. Illinois associates receive 40 hours of Illinois PSST upon hire and at the beginning of each subsequent calendar year and 40 hours of Illinois Paid Leave upon hire and at the beginning of each subsequent calendar year. Illinois Paid Leave must be used before associates in Illinois will be approved to take FTO.

Hired associates will be able to elect the purchase company stock during offering periods in June and December. You will be eligible for an annual incentive bonus based on individual and company performance.

Click here for more Benefits information.

About Bread Financial

At Bread Financial, you'll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We've been consistently recognized as a best place to work nationally and in many markets and we're proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled-both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.

Bread Financial(NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers.Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through ourco-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers.Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life.

Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress,visit breadfinancial.comor follow us on Instagram and LinkedIn.

  • Bread Financial offers competitive pay, a comprehensive selection of benefit options including 401(k).

  • The Company is an Equal Opportunity Employer.

  • Any applicant offered employment will be required to establish that they are legally authorized to work in the United States for the Company.

  • The Company participates in E-Verify.

  • The Company will consider for employment all qualified applicants, including those with a criminal history, in a manner consistent with the requirements of all applicable federal, state, and local laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Applicants with criminal histories are encouraged to apply.

  • The Company complies with the Americans with Disabilities Act (ADA), as amended, and all applicable state/local laws. The Company will provide accommodations to applicants needing accommodations to complete the application process. Applicants with disabilities may contact the Company to request and arrange for accommodations. If you need assistance to accommodate a disability, you may request an accommodation at any time. Please contact the Recruiting Team at TaOps@breadfinancial.com.

Job Family:

Information Technology

Job Type:

Regular

What Bread Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom