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Remote Spacex Machine Learning Jobs in Missouri (NOW HIRING)

Jobgether

As a Machine Learning Product Manager, you will lead the strategy, development, and optimization of ... Fully remote work environment with flexibility to work from anywhere within eligible European ...

Jobgether

Own the complete machine learning lifecycle, including feature engineering, model development ... Fully remote position with the flexibility to work from the Netherlands and across eligible ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Jobgether

$48.50 - $64/hr

... flexible, remote-first environment. Accountabilities * Deliver technical presentations ... Design, architect, and guide the implementation of AI solutions, including machine learning ...

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model ...

Jobgether

$158K/yr

Fully remote work environment with global collaboration opportunities. * Exposure to large-scale AI infrastructure and advanced machine learning technologies. * High degree of autonomy, ownership ...

Jobgether

$79K - $104K/yr

From generative AI and machine learning systems to modern cloud-based architectures, you will help ... Fully remote work environment offering flexibility and work-life balance. * Opportunity to lead ...

Jobgether

$80K - $110K/yr

Collaborate with machine learning teams to integrate advanced computer vision capabilities into ... Fully remote full-time position with flexibility to work from your preferred location.

Kohl's

Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application Preferred * Degree in Mathematics or Statistics, Economics, Computer Science, Predictive ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121K/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 ...

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

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All JobsRemote Spacex Machine Learning JobsRemote Spacex Machine Learning Jobs in Missouri

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 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:
Remote Spacex Machine Learning jobs near you
Infographic showing various Remote Spacex Machine Learning job openings in Missouri as of June 2026, with employment types broken down into 36% Full Time, 23% Part Time, and 41% Contract. Highlights an 100% Remote job distribution.

Machine Learning Product Manager

Jobgether

On-site, Remote

Full-time

Posted 3 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Product Manager based in Netherlands.

As a Machine Learning Product Manager, you will lead the strategy, development, and optimization of intelligent decision-making systems that drive meaningful business outcomes. Working at the intersection of product, data science, engineering, analytics, and commercial teams, you will transform complex challenges into scalable AI-powered solutions. This role combines strategic thinking with technical product leadership, requiring a strong understanding of machine learning, experimentation, and data-driven decision-making. You will shape how automated systems support growth, improve operational efficiency, and balance human oversight with intelligent automation. Ideal for a product leader who enjoys navigating ambiguity and solving high-impact problems, this position offers the opportunity to influence core business performance through innovative technology and cross-functional collaboration.

Accountabilities
  • Define and own the product vision, strategy, and roadmap for machine learning-powered decisioning and optimization capabilities.
  • Translate business objectives into clear product requirements, user stories, decision frameworks, and measurable success metrics.
  • Collaborate closely with Data Science, Engineering, Analytics, Commercial, and Leadership teams to develop intelligent systems that support growth and operational efficiency.
  • Identify, evaluate, and prioritize high-impact use cases for machine learning and automated decision-making across the business.
  • Lead discovery initiatives to understand existing workflows, operational challenges, and opportunities for optimization through AI-driven solutions.
  • Partner with technical teams to define data requirements, model objectives, experimentation frameworks, monitoring strategies, and feedback mechanisms.
  • Design and implement human-in-the-loop processes that balance automation with transparency, control, and reliability.
  • Drive experimentation and validation efforts to assess model performance, mitigate risk, and support data-informed product decisions.
  • Define, monitor, and optimize product KPIs and machine learning performance metrics to ensure measurable business impact.
  • Communicate complex technical concepts, machine learning systems, and optimization strategies effectively to both technical and non-technical stakeholders.
Requirements
  • Minimum of 5 years of product management experience, including several years working with machine learning, artificial intelligence, predictive systems, or algorithmic decision-making products.
  • Proven experience collaborating with Data Science and Engineering teams to deliver ML-powered products and translate business needs into technical solutions.
  • Strong analytical mindset with expertise in experimentation, hypothesis testing, performance measurement, and data-driven decision-making.
  • Ability to evaluate complex business and commercial trade-offs while balancing customer, operational, and organizational priorities.
  • Solid technical fluency, including familiarity with data pipelines, model development lifecycles, model evaluation techniques, system constraints, and experimentation methodologies.
  • Experience working in highly strategic, ambiguous, and cross-functional product environments where solutions require significant discovery and iteration.
  • Excellent stakeholder management and relationship-building skills, with the ability to align diverse teams around common objectives.
  • Structured and outcome-oriented approach to product discovery, roadmap development, prioritization, and execution.
  • Exceptional communication skills with the ability to simplify and explain complex systems to varied audiences.
  • Experience with marketplaces, recommendation systems, ranking algorithms, pricing systems, advertising technology, or similar optimization-focused domains is highly desirable.
  • Passion for artificial intelligence, intelligent systems, sustainability, and creating measurable business value through technology.
Benefits
  • Fully remote work environment with flexibility to work from anywhere within eligible European locations.
  • Flexible working hours and a high level of autonomy over work organization and schedule management.
  • Dedicated learning and development budget to support professional growth through courses, certifications, conferences, and training opportunities.
  • Access to professional coaching, personal development resources, and mental health support services.
  • Regular internal workshops, knowledge-sharing sessions, and cross-functional learning opportunities.
  • Opportunity to participate in company-wide gatherings, team-building events, workshops, and collaborative office weeks throughout the year.
  • Inclusive, feedback-driven culture that encourages innovation, experimentation, and continuous improvement.
  • Collaborative and diverse international team environment with strong emphasis on personal ownership and impact.
  • Optional access to modern office facilities for in-person collaboration and networking.
  • Strong commitment to work-life balance and employee well-being.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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.
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