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Remote Director Machine Learning Jobs in Missouri

Jobgether

Our partner is looking for an AI Director - Machine Learning based in Netherlands. This role offers ... Fully remote working environment with flexibility to work from different regions worldwide.

Jobgether

You will collaborate with software engineers and technical teams in a fast-moving, remote ... The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI ...

Jobgether

Our partner is looking for a Machine Learning Engineer - Distillation based in Netherlands. This ... Remote-friendly work environment with an async-first culture. * Opportunity to solve challenging AI ...

Jobgether

... and direct preference optimization (DPO). * Optimize model inference performance, latency ... Remote-first working environment with flexibility across eligible locations. * Opportunity to work ...

Jobgether

... Tuning (PEFT), Direct Preference Optimization (DPO), and Proximal Policy Optimization (PPO ... Benefits * Fully remote work environment with collaboration across an international team.

Jobgether

$88K - $106K/yr

Opportunity to work on performance-critical AI systems with direct product impact. * High level of ... Flexible remote work environment. * Opportunity to contribute to the growth of an innovative AI ...

Catawiki

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Jobgether

This role offers the opportunity to develop innovative cloud-based artificial intelligence and machine learning solutions within a fully remote, international engineering environment. You will ...

Kohl's

$95K - $131K/yr

Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...

Jobgether

$80K - $110K/yr

You will work at the intersection of machine learning engineering, MLOps, and research, enabling ... Excellent organizational, communication, and collaboration skills in a remote and international ...

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 ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you will play a key role in building and implementing features that empower lodging customers to make data ...

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Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are popular job titles related to Remote Director Machine Learning jobs in Missouri? For Remote Director Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Missouri look for? The top searched job categories for Remote Director Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Director Machine Learning jobs? Cities in Missouri with the most Remote Director Machine Learning job openings:
Remote Director Machine Learning jobs near you

AI Director - Machine Learning

Jobgether

On-site, Remote

Full-time

Medical, Dental, PTO

Posted 9 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 an AI Director - Machine Learning based in Netherlands.

This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment. You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities. Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions. The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills. You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment.

Accountabilities
  • Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences.
  • Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes.
  • Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies.
  • Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions.
  • Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems.
  • Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies.
  • Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications.
  • Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence.
  • Provide technical leadership, mentorship, and strategic direction to engineering teams working on AI-driven projects.
Requirements
  • Previous experience in an AI/ML leadership role such as AI Director, AI Lead, Machine Learning Manager, or an equivalent position.
  • Strong expertise in artificial intelligence, machine learning theory, algorithms, system design, and practical implementation.
  • Advanced programming skills in Python and C++, with hands-on experience using machine learning frameworks such as PyTorch and TensorFlow.
  • Deep understanding of modern AI models, their capabilities, limitations, and appropriate use cases.
  • Ability to design and evaluate machine learning solutions while balancing research exploration with practical execution.
  • Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non-technical audiences.
  • Collaborative and mentoring-oriented mindset with a passion for innovation, problem-solving, and knowledge sharing.
  • Experience in game development or interactive entertainment environments is a plus but not required.
  • Ability to stay current with rapidly evolving AI technologies and apply emerging approaches effectively.
Benefits
  • Fully remote working environment with flexibility to work from different regions worldwide.
  • Competitive compensation package with additional benefits depending on location.
  • Generous paid time off allowance.
  • Company-wide summer and winter holiday closures separate from standard PTO.
  • Private medical and dental healthcare coverage.
  • Private mental health support program.
  • Annual health and wellbeing allowance.
  • Discretionary studio bonus opportunities.
  • High-quality technology equipment provided for home office setup.
  • Additional regional benefits based on location.
  • Opportunity to work on ambitious AI-driven projects within a collaborative and innovative engineering culture.
  • Strong focus on autonomy, continuous improvement, and meaningful impact rather than hours worked.
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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