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Remote Director Machine Learning Jobs in Missouri

Relativity

Principal Applied Scientist

California, MO · On-site +1

Remote/Hybrid Job Overview Relativity is a leading legal data intelligence company building ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Jobgether

Strong experience as a Senior AI/ML Engineer, LLMOps Engineer, Machine Learning Engineer, or ... Flexible work arrangements, including remote or hybrid options. * Collaboration with a diverse and ...

New

Kohl's

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

Jobgether

Direct collaboration with executive leadership to shape long-term research strategy. * Publication ... Learning and development budget for conferences, courses, tools, and professional resources.

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 ...

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 ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/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 ...

Jobgether

$50.25 - $63.75/hr

... or Machine Learning Specialty), experience with Hugging Face, RLHF, AI governance frameworks, or infrastructure-as-code tools (Terraform, AWS CDK). Benefits * Fully remote-friendly role with ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Missouri

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

Intellectual Property (IP) Technical Specialist

Amatriot Group, LLC

Saint Louis, MO • On-site, Remote

$125K - $175K/yr

Full-time

Posted 29 days ago

Job description

Security Clearance: Active TS/SCI [Required]

Location: St. Louis, Missouri OR Springfield, Virginia

Job Type: Full-Time

Target Salary Range*: $125,000-175,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

Position Overview

The Amatriot Group is currently seeking an Intellectual Property (IP) Technical Specialist to support work with the National Geospatial-Intelligence Agency. The ideal candidate is a subject matter expert with experience in computer architecture, artificial intelligence, machine learning, deep learning, computer vision, software engineering, and other computer science and computer engineering fields who can assess inventions in these fields for patentability.

The Intellectual Property Technical Specialist will support the NGA Office of Research and Technology Applications and the Office of General Counsel with patent assessments, preparation of patent applications related to inventions, and drafting responses to U.S. Patent and Trademark Office actions.

This position will be performed at NGA offices in either St. Louis, MO, or Springfield, VA. Remote work capabilities are authorized on an as-needed basis.

Key ResponsibilitiesPatent Search and Patentability Assessment
  • Conduct patent searches to assess the novelty and patentability of computer architecture, artificial intelligence, and other computer science and computer engineering inventions.
  • Conduct interviews with inventors to capture all required aspects of technologies submitted for the ORTA to make patenting recommendations.
Patent Application and Prosecution Support
  • Collaborate with inventors and OGC to develop patent prosecution strategy.
  • Work closely with OGC to prepare patent applications, including drafting specifications, drawings, and claims.
  • Ensure technical accuracy of the subject matter in patent applications.
  • Provide technical and legal research and analysis to assist OGC in support of NGA submissions pending before the USPTO.
  • Assist OGC with preparing responses to USPTO actions and docket management.
Documentation and Records Management
  • Ensure procedures are in place to classify and maintain records.
  • Interpret and enforce documentation formatting, standards, policies, and operating procedure requirements.
QualificationsEducation

  • B.S. in Computer Science, Computer Engineering, or closely related field.

Experience
  • 5 years of experience related to the job responsibilities listed above with a Bachelor’s degree in a related field; or
  • 3 years of relevant experience with a Master’s degree in a related field; or
  • No years of experience with a PhD in a related field.
  • Demonstrated technical expertise in one or more of the following:
    • Computer architecture
    • Artificial intelligence
    • Machine learning
    • Deep learning
    • Computer vision
    • Software engineering
    • Programming
Skills
  • Ability to work independently with minimal guidance.
  • Demonstrated superior writing and analytical skills.
  • Knowledge of the Patent Laws, Manual of Patent Examining Procedure, and USPTO regulations.
Clearance

  • TS/SCI security clearance required.

Preferred Qualifications
  • Candidates located near NGA offices in either St. Louis, MO, or Springfield, VA.
  • USPTO registration preferred.
  • Submissions to technical journals and authoring white papers in computer science, engineering, or related fields.
  • Ability to work in a fast-paced environment with quick turnaround times and minimal supervision.

Apply