2

Remote Embedded Machine Learning Jobs in Texas (NOW HIRING)

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... This role will own the Machine Learning models that drive our business from development to ...

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Develop and deploy machine learning and generative AI solutions that support enterprise use cases.

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

This position is remote and requires a Secret clearance or higher. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop machine learning and generative AI models that ship as customer-facing product features

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

next page

Showing results 1-20

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 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 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 the most commonly searched types of Embedded Machine Learning jobs in Texas? The most popular types of Embedded Machine Learning jobs in Texas are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Texas? For Remote Embedded Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Texas look for? The top searched job categories for Remote Embedded Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Embedded Machine Learning jobs? Cities in Texas with the most Remote Embedded Machine Learning job openings:
Senior Software Engineer (C++, Embedded) IRC279020

Senior Software Engineer (C++, Embedded) IRC279020

GlobalLogic

Dallas, TX • On-site, Remote

$122.70K - $160.80K/yr

Full-time

Posted 24 days ago


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies


Job description

Description
  • 6-8 years of Experience in embedded systems.
  • Expert in C, C++, embedded Linux, and device drivers
  • 6+ years of experience in architecture, design, prototyping, software development, code review, and unit testing for embedded devices.
  • High proficiency with modern C, C++, C++11/C++14, or C++17 preferred.
  • Experience and strong knowledge of Linux, BSP, and Linux subsystems
  • Experience in JavaScript

Requirements
  • Good to have: Experience with IP-based communications and protocols, for example, HTTP, TLS, REST, WebSockets, JSON, XML, Protobufs,
  • Flatbuffers, RTP, RTSP, and HLS. Experience working with diverse engineering teams.
  • Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Job responsibilities
  • Memory and performance profiling tools experience
  • Excellent with the C++ build process
  • Excellent knowledge of multithreading and algorithms
  • Solid foundational knowledge of inter-process communications (IPC) and remote procedure calls (RPC).
  • Proficiency with multiple communications paradigms: client-server, peer-to-peer, and publish/subscribe

What we offer
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

What GlobalLogic employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom