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Remote Spacex Machine Learning Jobs in Arizona (NOW HIRING)

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. * Cloud ...

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 ...

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent ...

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 ...

Senior Operations Research Analyst

Sierra Vista, AZ · On-site +1

$103K - $103K/yr

... science,machine learning, andoperations researchto provide robust and flexible testing and ... Remote * Travel Requirements: This position will require travel of 25% with potential surge to 50 ...

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 ... machine learning tools and their application to business problems or operational improvement ...

Senior Software Engineer

Tempe, AZ · Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

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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 Arizona? The most popular types of Spacex Machine Learning jobs in Arizona are:
What are popular job titles related to Remote Spacex Machine Learning jobs in Arizona? For Remote Spacex Machine Learning jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Remote Spacex Machine Learning jobs? Cities in Arizona with the most Remote Spacex Machine Learning job openings:
Search Engineer, Technical Support (Government Sector) - EVERGREEN ROLE

Search Engineer, Technical Support (Government Sector) - EVERGREEN ROLE

Lucidworks

Phoenix, AZ • On-site, Remote

$104K - $143K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago


Job description

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way.
Please note: To ensure a fair and efficient process for all applicants, we kindly ask that you refrain from direct outreach to our hiring managers or team members. All communication should go through the official application portal. We will review your application carefully and reach out to you if your qualifications match our needs. We appreciate your interest in Lucidworks!
PLEASE NOTE: This is an evergreen role, meaning we're not actively hiring at the moment but may in the future. We review applications on an ongoing basis and may reach out if and when an opportunity opens that aligns with your experience.
About the Role
As a Search Engineer in Technical Support, you will play a critical role in helping our clients achieve success with our products. You will be responsible for assisting clients directly in resolving any technical issues they encounter, as well as answering questions about the product and feature functionality. You will work closely with internal teams such as Engineering and Customer Success to resolve a variety of issues, including product defects, performance issues, and feature requests.
This role requires excellent problem-solving skills and attention to detail, strong communication abilities, and a deep understanding of search technology. Additionally, this role requires the ability to work independently and as part of a team, and being comfortable working with both technical and non-technical stakeholders. The successful candidate will demonstrate a passion for delivering an outstanding customer experience, balancing technical expertise with empathy for the customer's needs.
This role will provide primary support to our U.S. government customers.
This is a remote role open to US strictly based candidates in Mountain or Pacific time zones.
This role is expected to participate in weekend on-call rotations.
Responsibilities
  • Field incoming questions, help users configure Lucidworks Fusion and its components, and help them to understand how to use the features of the product
  • Troubleshoot complex search issues in and around Lucene/Solr
  • Document solutions into knowledge base articles for use by our customer base in our knowledge center
  • Identify opportunities to provide customers with additional value through follow-on products and/or services
  • Communicate high-value use cases and customer feedback to our Product Development and Engineering teams
  • Collaborate across teams internally to diagnose and resolve critical issues
  • Participating in a 24/7/365 on-call rotation, which includes weekends and holidays shifts
  • All other duties as assigned

Skills & Qualifications
  • US Citizenship required due to government contracts
  • 2+ years of hands-on experience experience with Search technologies such as Apache Lucene/Solr.
  • 3+ years professional experience in a customer facing level 2-3 tech support role
  • BS or higher in Engineering or Computer Science is preferred
  • Experience with technical support CRM systems (Salesforce, Zendesk etc.)
  • Experience with cloud computing platforms (GCP, Azure, AWS, etc.) and Kubernetes
  • Ability to clearly communicate with customers by email and phone
  • Proficiency with Java and one or more common scripting languages (Python, Perl, Ruby, etc.)
  • Proficiency with Unix/Linux systems (command line navigation, file system permissions, system logs and administration, scripting, networking, etc.)
  • Exposure to other related open source projects (Mahout, Hadoop, Tika, etc.) and commercial search technologies
  • Enterprise Search, eCommerce, and/or Business Intelligence experience
  • Knowledge of data science and machine learning concepts
  • Experience working in a startup or similarly fast-paced, high-growth environment preferred.

Our Stack
  • Apache Lucene/Solr, ZooKeeper, Spark, Pulsar, Kafka, Grafana
  • Java, Python, Linux, Kubernetes
  • Zendesk, Jira

$104,000 - $143,000 a year
This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Lucidworks' total compensation package for employees. Your total rewards package includes (but is not limited to) discretionary variable bonus, top-notch medical, dental and vision coverage, a variety of voluntary benefits, generous PTO policy, various leave policies, and many other region-specific benefits.
Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company.
Thank you for your interest and we look forward to learning more about you.
Note to third party recruiters:
We appreciate your interest in our job opportunities. However, we kindly request that third-party recruiters and staffing agencies refrain from contacting us regarding these positions. We prefer to work directly with candidates and do not accept unsolicited resumes or candidate referrals from third-party recruiters or agencies. Unsolicited resumes and referrals will become the property of Lucidworks, and no fee will be paid should we hire a candidate whose resume was sent unsolicited.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.