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Remote Spacex Machine Learning Jobs in Utah (NOW HIRING)

Marketing Coordinator

Draper, UT · On-site +1

$60K - $90K/yr

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... and copy machines. May occasionally be exposed to noise in office or event settings. * While ...

Marketing Coordinator

Draper, UT · On-site +1

$60K - $90K/yr

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... and copy machines. May occasionally be exposed to noise in office or event settings. * While ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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Remote Spacex Machine Learning information

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 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 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 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 most commonly searched types of Spacex Machine Learning jobs in Utah? The most popular types of Spacex Machine Learning jobs in Utah are:
What are popular job titles related to Remote Spacex Machine Learning jobs in Utah? For Remote Spacex Machine Learning jobs in Utah, the most frequently searched job titles 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:
GIS & Operations Associate

GIS & Operations Associate

Bentley Systems

Salt Lake City, UT • Remote

Other

Posted 28 days ago


Job description

GIS & Operations Associate

Location: Salt Lake City hybrid work model

 

Position Summary:

We are looking for an experienced GIS candidate who can help advance our GIS and mapping capabilities.  The position will be focused on supporting the Data & Delivery team by managing the day-to-day GIS mapping/annotations for our AI Machine Learning technology Blyncsy.AI, and support for other staff (including demos, system training and correspondence).

Responsibilities:

  • Work with the Blyncsy Data & Delivery team to run Blyncsy.AI implementations and projects with customers globally.
  • GIS mapping, annotations, Blyncsy.AI projects and support for our products
  • Collection, manipulation, analysis, and visualization of spatial data
  • Covering multiple types of data, classifications, and coordinating reference systems (CRS)
  • Provide integral feedback on the product (and company) road map
  • Organization and effective time management are critical to meeting project deadlines and client deliveries.

Qualifications:

  • 5+ years' experience in GIS support or related field
  • Experience with GIS/mapping and geospatial concepts.
  • Ability to speak professionally to customers, vendors, and stakeholders.
  • Ability to explore new mapping tools and put them to use through trial and error.
  • Be able to work independently with customers to understand requirements and collaboratively develop solutions.
  • Previous experience using QGIS/ArcGIS a plus.
  • An ability to think critically about logistics and help drive the process.
  • History of working well with a small, cross-functional team
  • Bachelor's degree preferred.
  • This position may require some travel.
  • Requires sitting or standing at will while performing work on a computer (or any other physical requirements).

What We Offer:

  • A great Team and culture - please see our colleague video. 
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start. 
  • An attractive salary and benefits package. 
  • A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups. 
  • A company committed to making a real difference by advancing the world's infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact. 

#LI-NI1 #LI-Remote

About Bentley Systems

Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com

Equal Opportunity Employer:

Bentley is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic.  This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights as an applicant under the law.

Bentley Policy on EEO, Affirmative Action and Pay Transparency Non-Discrimination

Bentley participates in e-Verify / Bentley participate in e-Verify / Right to Work Notice

Request an Accommodation:

As an Equal Opportunity Employer, Bentley is committed to providing reasonable accommodations to applicants with disabilities. We encourage you to request a reasonable accommodation if you are not able to fully use or access our online application system.   You can make an accommodation request by calling 610-458-5000 or sending us an email at disabilityrequest@bentley.com