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Remote Spacex Machine Learning Jobs in Ohio (NOW HIRING)

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

New

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ...

Remote USA TOP SKILLS: comprehensive vulnerability management Java Platform Engineering What You'll ... machine-learning and data-warehousing platforms. • Define and implement various strategies ...

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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 Ohio? The most popular types of Spacex Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Remote Spacex Machine Learning jobs? Cities in Ohio with the most Remote Spacex Machine Learning job openings:
SENIOR DATA ARCHITECT - DIGITAL HEALTH

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Premier Health

Dayton, OH • On-site, Remote

$65.25 - $87.50/hr

Other

Medical, Retirement, PTO

Posted 12 days ago


Job description

DEPT: Digital Health & Technology Analytics 

Full-Time / REMOTE

Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role promises the chance to make substantial contributions to the healthcare industry by ensuring data integrity, governance, and facilitating innovative solutions. As a beacon of excellence, Premier Health offers an inclusive culture where your contributions matter. We're celebrated for our commitment to employee satisfaction and fostering a connected workplace. By joining us, you'll help influence healthcare delivery while working in an environment that's as nurturing as it is stimulating.

REMOTE: This position can work remotely from out-of-state within the continental United States. Candidates must be eligible to work in the United States. Preference to candidates within 600 miles - in same or similar contiguous time zone to Dayton, Ohio (Eastern Standard Time) 

Responsibilities

  • Design and maintain optimal data architectural solutions
  • Address complex data challenges to enhance business insight delivery
  • Develop advanced data products to aid analytics initiatives
  • Mentor and lead in data standards, practices, and governance
  • Promote a culture of knowledge sharing and efficient data solutions
  • Guide the integration of new analytical tools and processes
  • Implement strategic communication plans for data capabilities
  • Collaborate on technical architectures for major enterprise projects

Requirements

  • Bachelor's Degree in IT, Computer Science, MIS, or related field
  • 5-7 years' experience in relevant data engineering/architecture roles
  • Proficiency in SQL, data analysis, and programming (Python/Scala)
  • Experience with Azure ecosystem, preferable
  • Knowledge of Linux OS
  • Familiarity with machine learning and data science concepts

Benefits

  • Fully Remote work-from-home Flexibility
  • Comprehensive Health Benefits
  • Generous paid vacation/ Time-Off-Program
  • 401(k) with Employer Match
  • Continuous Learning & Career Advancement Opportunities
  • Inclusive & Supportive Company Culture

Are you ready to take the next step in your career and have a significant impact on the healthcare industry? Premier Health invites you to become a part of our dynamic team as a Senior Data Architect. Dive into a role where your work contributes to real change and where every project advances our mission. Apply now and join a community that celebrates your passion and dedication to excellence.

Minimum Education: Bachelor's degree  

Type of degree: Bachelor's degree

            *** years of relevant work experience will be considered in lieu of formal college degree. ***Bachelors required

Area of study or major: Information Technology, Computer Science, MIS, or engineering preferredInformation Technology, Computer Science, MIS, or engineering preferred

Preferred educational qualifications: Engineering and Computer ScienceEngineering and Computer Science

Experience

 

Minimum Level of Experience Required: 5 - 7  5 - 7 years of job related experienceyears of job related experience

Prior job title or occupational experience:   Data Governance, Data Engineer, IT Engineer, and Platform EngineerData Engineer, IT Engineer, and Platform Engineer

Prior specific functional responsibilities:  5 years of experience working in data engineering or architectural roles & 7 years preferred.5 years' experience working in data engineering or architectural roles & years preferred. .

Preferred experience:   Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions; Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Fabric (preferred); Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions;  Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Synapse (preferred); Database development experience using Hadoop or BigQueryand experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics      

Other experience requirements: Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills