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Remote Embedded Machine Learning Jobs in Missouri

... embedded/embedded-within-system trainers, courseware, instructor-led and distributed learning ... ranges, remote instruction, and logistics-enabled training) that meet rigorous government ...

... embedded/embedded-within-system trainers, courseware, instructor-led and distributed learning ... ranges, remote instruction, and logistics-enabled training) that meet rigorous government ...

Operating in a fully remote, globally distributed environment, you will partner closely with ... Act as a strategic advisor to senior leadership, ensuring compliance considerations are embedded in ...

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Denver, CO Job Type Remote Build the Future with Us -- EquipmentShare is Hiring a Senior Data ... Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ...

Data Platform Software Engineer

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (Remote Eligible) Company Overview : SS&C is a global leader in investment and ... and machine learning, while providing out-of-the-box deep insights. This role blends data ...

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 ...

... risk is embedded into every major initiative. This is a high-impact position for a strategic ... learning and development budget * Paid volunteering opportunities * Flexible work location (remote ...

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ...

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental ...

$94K - $130K/yr

Working in a remote-first, collaborative engineering environment, you will create scalable ... Ensure accessibility standards are embedded throughout the design system, following WCAG 2.2 AA ...

$88K - $121K/yr

Benefits * Fully remote work with flexibility to work from anywhere within compatible regions ... Learning and development budget, including courses, training, workshops, and language programs.

This role is a key quality ownership position embedded directly within a fast-paced, product-driven ... Remote-first setup with flexible working arrangements * Paid annual leave and additional time-off ...

Build and maintain automated regression and validation pipelines embedded in deployment workflows ... Fully remote or hybrid-friendly setup depending on location and team alignment. * Competitive ...

$79K - $104K/yr

Collaborate closely with engineering teams to ensure security is embedded into infrastructure and ... Fully remote-first working model with flexibility across Europe. * Opportunity to build and scale a ...

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Remote Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Missouri? The most popular types of Embedded Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Embedded Machine Learning jobs? Cities in Missouri with the most Remote Embedded Machine Learning job openings:
Product Management Director - Healthcare AI (M.D. Required)

Product Management Director - Healthcare AI (M.D. Required)

Wolters Kluwer

Clayton, MO • On-site, Remote

$217K - $228K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Wolters Kluwer rating

8.7

Company rating: 8.7 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 205 rated software companies


Job description

LOCATION: U.S. locations - remote/hybrid. Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment. Candidates not within commuting distances will be considered for remote employment.

OVERVIEW

Our ideal person is an established medical researcher with clinical experience, and you have a vision and insight of how GenAI capabilities can transform medical research. You will formulate innovative a product for medical research using GenAI and LLM, implement new technology applications to Ovid, and support the growth of Ovid online business and Journal publishing. You will play an instrumental role in Ovid re-platforming and development of Ovid.com to capture GenAI enabled market opportunities in agentic medical research to sustain Ovid subscription businesses, enhance and extend the Ovid brand, manage intellectual property from development, and foster targeted business and technology partnerships. You will represent Ovid and communicate its applications of GenAI and LLM in industry events, conferences, and other marketing channels.

DUTIES

  • Function as a thought leader and a GenAI product evangelist both internally and externally communicating vision, product positioning, and Ovid brand.
  • Support the business during adoption of transformational GenAI technologies to the business and Ovid product platforms.
  • Guide team of product managers, SMEs, AI data scientists, AI engineers, and matrixed development resources to turn technological capabilities, market and customer insights, competitive intelligence, and industry dynamics into a rolling platform roadmap with agility to achieve and exceed key business goals.
  • Manage rapid experiments with new GenAI technologies and Ovid content to identify new product concepts, research tools, and designs of prompts and rubrics for development for Ovid.com.
  • Help conduct customer research, contextual inquiry, market segmentation, market research, and strategic partnerships to develop a deep understanding of both emerging and evolving market needs triggered by GenAI and LLM.
  • Collaborate with leaders in Health Research, WK Health, and the WK technology organizations to establish consistent product management discipline in the era of GenAI.
  • Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps.
  • Contribute to the annual WK corporate planning and financial planning, revenue forecasting and market strategies for Health Research
  • Provide assistance to GenAI technology partnership development, content licensing, and M/A.
  • Ensure availability of the right GenAI skills and capabilities in the product management team to deliver product developments.

QUALIFICATIONS

Education: Doctor of Medicine (MD) and residency required; additional graduate level degrees a plus

Required Experience:

  • Minimum 3 years in medical and clinical practice
  • minimum 5 years in medical and clinical research, including published articles in peer-reviewed journals (PI experience a plus)
  • Minimum 3 years in technology applications to medical research or clinical practices
  • Demonstrated success as a medical researcher and an AI expert in formulating product strategy, product development, and workflow solution design to achieve business goals.

Preferred Experience:

  • Experience in medical and clinical practice, medical and clinical research, and product development using GenAI technologies.
  • Expertise in creating and implementing product strategies by leveraging GenAI technologies.
  • Commercial minded thought leader that integrates medical research expertise, knowledge of GenAI technologies, and external market insights into product success.
  • Strong perspective on GenAI and LLM and their potential impact on medical and clinical research in the future.
  • Knowledge of GenAI and LLM, skillful in using them in daily work ranging from clinical practice to medical research.
  • Experience in agent development and agentic workflow design, including hands-on prompt engineering and rubric setup.
  • Familiar with established product development processes from concept to post-launch such as Lean Development or SVPG or Objective & Key Results (OKR), including working with medical and clinical experts and users.
  • Collaborative team player with excellent verbal, written and interpersonal communication skills and attention to detail.
  • Knowledgeable in website structure, design, and development.
  • Ability to thrive in a fast-paced environment and work on multiple projects effectively.
  • Some exposure or experience in developing and leading the execution of go-to-market plans.
  • Ability to perform well in customer-facing presentations and understand the sales process.
  • Experience in representing a leading product organization in industry events and conferences as speaker, keynote, and panelist.

TRAVEL: Domestic and international travel approximately 10-15% of work time.

#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:

$151,700.00 - $270,950.00 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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