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Remote Embedded Machine Learning Jobs in Fort Worth, TX

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Crowe LLP

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Hands-on experience using statistical or machine learning frameworks to solve a variety of real ...

micro1 AI

AI Trainer - Microbiology Expert

Frisco, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Irving, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Dallas, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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Showing results 41-60

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Fort Worth, TX

Remote Embedded Machine Learning information

See Fort Worth, TX salary details

$67.1K

$147K

$166.8K

How much do remote embedded machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote embedded machine learning in Fort Worth, TX is $147,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,000.00 and $165,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

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 popular job titles related to Remote Embedded Machine Learning jobs in Fort Worth, TX? For Remote Embedded Machine Learning jobs in Fort Worth, TX, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Fort Worth, TX look for? The top searched job categories for Remote Embedded Machine Learning jobs in Fort Worth, TX are:
What cities near Fort Worth, TX are hiring for Remote Embedded Machine Learning jobs? Cities near Fort Worth, TX with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in Fort Worth, TX as of July 2026, with employment types broken down into 32% Full Time, 36% Part Time, and 32% Contract. Highlights an 100% Remote job distribution, with an average salary of $147,001 per year, or $70.7 per hour.

Senior Product Marketing Manager, Professional Learning

Cambium Learning Group

Dallas, TX • On-site, Remote

$111K - $146K/yr

Full-time

Posted 23 days ago

Cambium Learning Group rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

11th of 242 rated software companies

Job description

Senior Product Marketing Manager, Professional Learning
For four decades, Lexia has led the science of reading revolution, delivering research-driven professional learning, curriculum, and embedded assessment solutions that enable districts to accelerate literacy outcomes at scale. We're seeking a Senior Product Marketing Manager, Professional Learning to serve as the senior, market-facing pioneer for Lexia's professional learning portfolio, owning strategic positioning, commercialization, and lifecycle optimization with a long-term, enterprise-level growth perspective aligned to company strategy, financial objectives, and evolving market conditions.
This role is designed for a seasoned product marketer who combines deep functional expertise with executive-level judgment, influencing direction across functions without formal authority.
Job Location: US, Remote. Must work and reside within the US for this position.
Job Overview:
As the Product Marketing Manager for Professional Learning, you will define, drive, and operationalize Lexia's market strategy for professional learning solutions. Operating with a high degree of autonomy and accountability, this role directly influences portfolio performance, product direction, and Lexia's credibility with district leaders and educators by:
  • Establishing market strategy and long-range positioning for professional learning through rigorous TAM analysis, segmentation, and prioritization-integrating external market forces such as district funding cycles, instructional policy, and professional development trends.
  • Influencing product and portfolio decisions by translating sophisticated market, buyer, and educator insights into actionable requirements and recommendations that shape roadmap investment and sequencing.
  • Leading go-to-market strategy and execution across the product lifecycle, ensuring launches, adoption efforts, and messaging frameworks are aligned to business priorities and measurable outcomes.
  • Setting the standard for sales enablement and market readiness, developing scalable frameworks, narratives, and best practices that are adopted across teams and inform organizational operating models.

You will work in close partnership with senior leaders across Product, Sales, Customer Success, Strategic Marketing Program team, Research, and Education Partnerships, building durable networks with decision-makers to ensure Lexia's professional learning solutions remain differentiated, relevant, and commercially effective.
This role is ideal for a senior-level marketer who shapes strategy as much as they execute it and who consistently brings a market-informed perspective to enterprise conversations.
You'll enjoy this role if you:
  • Are motivated by shaping strategy and influencing outcomes that extend beyond a single product or launch.
  • Thrive on high-complexity problem solving, ambiguity, and impartial decision-making that impacts multiple functional areas.
  • Bring a point of view on professional learning, educator change management, and district adoption dynamics-and can articulate it credibly to senior audiences.
  • Enjoy operating as a trusted advisor to product and commercial leadership, grounded in data, insight, and market realities.
  • Balance long-range thinking with disciplined execution, ensuring strategy translates into results.
  • Adapt quickly to shifting priorities while maintaining clarity of direction and standards of excellence.

Job Responsibilities:
  • Owning the end-to-end go-to-market strategy for professional learning, serving as Lexia's internal authority on market opportunity, buyer needs, and competitive differentiation.
  • Leading advanced market and buyer research, synthesizing complex qualitative and quantitative inputs into strategic guidance for senior stakeholders.
  • Partnering with Product and Research leadership to ensure professional learning solutions align with instructional science, district realities, and evolving market expectations.
  • Defining and socializing differentiated positioning and messaging that clearly articulate Lexia's professional learning value across decision-makers, influencers, and practitioners.
  • Designing and orchestrating product launches, including commercialization strategy, internal readiness, and cross-functional execution with limited oversight.
  • Establishing sales enablement frameworks, playbooks, solution narratives, competitive positioning, and messaging systems that scale consistency and effectiveness across teams.
  • Providing ongoing competitive, market, and customer intelligence to inform campaigns, portfolio decisions, and executive planning discussions.
  • Tracking, analyzing, and reporting performance metrics tied to adoption, pipeline influence, retention, and portfolio health-translating insights into recommendations that inform leadership action.
  • Leading enablement sessions and executive briefings, adapting communication style and depth to audiences across levels and functions.
  • Identifying systemic opportunities for improvement across the product and marketing lifecycle and proactively driving solutions.

Job Requirements:
  • Bachelor's degree in marketing, education, business, or related field; advanced degree highly preferred.
  • 7-10+ years of progressive experience in product marketing, go-to-market strategy, or related disciplines, with demonstrated senior-level scope and impact.
  • Deep experience in education, professional learning, SaaS, or mission-driven environments, preferred.
  • Proven ability to influence strategy and decision-making through market insight, critical analysis, and executive-ready communication.
  • Advanced expertise in positioning and messaging development for complex solutions sold to multi-stakeholder buying groups.
  • Demonstrated success partnering with Sales, Customer Success, and Product in environments requiring influence, alignment, and sound judgment over direct authority.
  • Exceptional communication and presentation skills, with the ability to project confidence, credibility, and executive presence in high-stakes or ambiguous situations.
  • Excellent analytical, strategic thinking, and project management skills, with comfort operating autonomously on complex initiatives.
  • Pragmatic Marketing Certification or equivalent certification preferred but not required
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint), Microsoft Teams, and familiarity with tools supporting sales enablement, marketing operations, and cross-functional execution.

To learn more about our organization and the exciting work we do, visit https://www.lexialearning.com/.
Remote First Work Environment
Our Remote First approach gives employees the flexibility and trust they need to effectively balance work with life. It creates a culture in which all employees are valued and where success is measured in results. It allows us to work collaboratively, inclusively and for greater positive impact, regardless of our individual locations.
If you will be working remotely, either occasionally or on a permanent basis, you must have a reliable internet connection through a cable or fiber-optic broadband service with minimum speeds of 10 Mbps download and 5 Mbps upload.
The successful candidate will be expected to actively participate in video-based interviews during the recruiting process and ongoing virtual meetings with their camera on, as part of their role. To maintain confidentiality and ensure a fair evaluation process, the use of note-taking tools, reference materials, or AI-powered tools (including generative AI, language models, or similar technologies) during interviews or other selection activities is prohibited unless prior written approval has been obtained from the People Experience team. If you require an exception for medical, accessibility, or other reasons, please contact your Talent Acquisition team member to discuss accommodations in advance.
As part of our Remote-First benefits, Cambium offers reimbursement to help cover the cost of setting up your home or remote office.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, age, religion, sex (including pregnancy, gender, gender identity/expression, or sexual orientation), national origin, protected veteran status, disability, or genetic information (including family medical history).
We will provide reasonable accommodations for qualified individuals with disabilities. You may request an accommodation during the recruiting process with your Talent Acquisition team member.

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