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Remote Spacex Machine Learning Jobs in Missouri (NOW HIRING)

Understanding of machine learning workflows, training data quality, evaluation metrics, and ... Fully remote work with flexible working hours and the ability to work from anywhere worldwide.

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

This position is fully remote, requiring a reliable internet connection in a private setting ... Familiarity with machine learning workflows and model deployment pipelines. * Power BI management ...

$15.50 - $20.75/hr

Experience supporting technical recruiting for engineering, product, data, AI, or machine learning roles is a plus. Benefits: * Competitive compensation paid in US dollars. * Fully remote work ...

Collaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an ... Remote Work - You can work from everywhere! * Home Office Bonus - A one-time allowance to help you ...

This position is fully remote. Primary Responsibilities * Apply analytics and/or operations ... Experience with machine learning algorithmsKnowledge of Supply Chain principles Education and ...

Showing results 41-60

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?

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 Missouri?

The most popular types of Spacex Machine Learning jobs in Missouri are:

What are popular job titles related to Remote Spacex Machine Learning jobs in Missouri?

For Remote Spacex Machine Learning jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Spacex Machine Learning jobs in Missouri look for?

The top searched job categories for Remote Spacex Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Remote Spacex Machine Learning jobs?

Cities in Missouri with the most Remote Spacex Machine Learning job openings:

Infographic showing various Remote Spacex Machine Learning job openings in Missouri as of June 2026, with employment types broken down into 4% As Needed, 65% Full Time, 23% Part Time, 4% Contract, and 4% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Clinical Content- Physician (Clinical AI Strategist - UpToDate, M.D.)

Wolters Kluwer

Clayton, MO • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 244 rated software companies


Job description

LOCATION: U.S. locations - remote/hybrid (8 days a month in the office). Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment (within 50 miles of an office). Candidates not within commuting distances will be considered for remote employment. Please see eligible locations on the posting.

OVERVIEW

Wolters Kluwer, UpToDate and Lexidrug is seeking experienced clinicians to join our team as Clinical Artificial Intelligence (AI) Strategists. This role is central to advancing the clinical reasoning framework that underpins our next generation of trustworthy, clinically intelligent AI systems. You will work cross-functionally to evolve and operationalize this framework across AI architecture, system validation, and clinical workflows, ensuring outputs remain clinically sound and faithful to our trusted content.

You will help shape the future of clinical decision support by combining deep expertise in clinical reasoning with strong technical fluency and communication skills. Working across Clinical AI, Product, Engineering, Editorial, and Design, you will translate clinical thinking into scalable AI capabilities that meaningfully support patient care.

RESPONSIBILITIES

Clinical AI Strategy & Development (80%-100%)

  • Serve as the clinical lead on our clinical reasoning framework, guiding its continued advancement and application across AI initiatives.
  • Partner with Product, Engineering, Editorial, and AI teams to translate clinical reasoning into scalable AI system capabilities.
  • Define and maintain clinical indices, decision pathways, reasoning frameworks, and evaluation approaches that reflect real-world clinical decision making across specialties.
  • Contribute to clinical validation platform development, including development of clinical test sets, reasoning benchmarks, red teaming protocols, safety evaluations, and ongoing expert review to ensure outputs remain clinically faithful, useful, and meaningful.
  • Translate clinician and customer feedback into improvements in AI system behavior and the continued evolution of the clinical reasoning framework.
  • Serve as a clinical liaison between the Clinical AI team and traditional editorial operations, helping align clinical standards, workflows, and content strategy.
  • Communicate effectively across clinical, technical, and business teams, translating complex clinical concepts into practical system requirements and technical concepts into clinically meaningful guidance.
  • Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership.

Clinical Practice (optional - up to 20%)

Clinicians may allocate time to maintain active clinical practice, ensuring continued relevance and real-world insight; existing clinical stipend for physician editors will continue to apply.

QUALIFICATIONS

Education

  • MD, DO, PharmD, Advanced Practice Provider, or equivalent clinical degree: M.D. strongly preferred

Experience

  • Minimum 5 years of clinical practice, with demonstrated depth in patient care and breadth across domains such as hospital administration, patient safety, quality improvement, clinical research, medical education, clinical informatics, or publishing.
  • Demonstrated expertise in clinical reasoning as a discipline, including diagnostic reasoning, therapeutic decision making, uncertainty management, and evidence-based clinical decision making, as evidenced by teaching, publication, research, curriculum development, or related scholarly work.
  • Active clinical practice preferred; board certification preferred.
  • Valid medical license in at least one U.S. state preferred.
  • Strong understanding of modern AI technologies, including generative AI and large language models, with the ability to apply clinical expertise to AI development and evaluation. Experience with AI, informatics, machine learning, or digital health innovation is strongly preferred.
  • Excellent written, verbal, and technical communication skills, with the ability to translate clinical reasoning into system logic and communicate effectively with both clinical and technical audiences.
  • Experience working across agile, cross-functional environments, with the ability to build alignment and strong partnerships across clinical, engineering, product, and editorial teams.
  • Comfort with ambiguity and rapid iteration; ability to adapt quickly as AI technologies and organizational priorities evolve.
  • Strategic mindset with the ability to contribute to Clinical AI strategy and influence the evolution of clinical AI capabilities.
  • Leadership experience guiding complex initiatives or multidisciplinary teams is strongly preferred.
  • Experience supporting senior leaders through strategic analysis, written briefings, and cross-functional initiatives is preferred.

TRAVEL: Approximately one week every six weeks for team meetings and collaborative planning.

#LI-Remote

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$173,500.00 - $310,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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