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Remote Embedded Machine Learning Jobs in Colorado

Relativity

Senior Applied Scientist

Denver, CO · On-site +1

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

Ibotta

Build models using a variety of statistical and machine learning techniques, from selecting the ... Remote #BI-Hybrid

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work ...

Maximus

AI/ML Software Developer

Greeley, CO · Remote

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

New

Maximus

AI/ML Software Developer

Denver, CO · Remote

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

New

Maximus

AI/ML Software Developer

Thornton, CO · Remote

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

New

Maximus

AI/ML Software Developer

Aurora, CO · Remote

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

New

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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 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 popular job titles related to Remote Embedded Machine Learning jobs in Colorado? For Remote Embedded Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Colorado look for? The top searched job categories for Remote Embedded Machine Learning jobs in Colorado are:
Remote Embedded Machine Learning jobs near you

Senior Embedded Software Engineer - SECURITY CLEARANCE REQUIRED

SET Development

Denver, CO • On-site, Remote

$150K - $225K/yr

Contractor

Posted 12 days ago

Job description

Location:
REMOTE
Periodic travel required
We are seeking a defense industry-specific, experienced Senior Embedded Software Engineer, to join our Satellite Systems team. Secret Level Security Clearance or greater preferred.
In this multi-faceted role, the candidate will assist in the integration of our software into the government's broader space and ground system infrastructure. This includes ensuring that requirements are met, conducting testing, and working on a softsat-integrating and testing it. The role demands an individual who can contribute to the development of innovative solutions for satellite ground systems and space network ground segments.
Our partner designs and manufactures advanced spacecraft, commercial space destinations, satellites, propulsion and environmental systems, spacecraft subsystems and components for the U.S. government, commercial customers, and international organizations.
Responsibilities:
  • Develop, integrate, and test software for satellite systems in collaboration with customers and vendors.
  • Ensure the operation and maintenance of mission-critical software for command, control, monitoring, and telemetry of systems on satellites.
  • Work within an agile software development team, guiding features from requirement development through design, implementation, and testing.
  • Interface with customers, suppliers, application users, and other technical and support personnel.
  • Oversee the full software lifecycle, including design, development, test, delivery, and maintenance.
  • Adhere to modern DevSecOps development practices and utilize Agile frameworks.
  • Collaborate with cross-functional teams to ensure alignment of software with project goals and requirements.
  • Familiarity with standard satellite frameworks including CFS, OMS, and UCI.
  • Perform thorough testing and troubleshooting for software reliability and functionality.
  • Participate in code reviews and contribute to continuous code quality improvement.

Must-haves:
  • Bachelor of Science degree in Computer Science, Electrical Engineering, Software Engineering, or other related discipline and typically 10 or more years of relevant experience
  • Related experience may be considered in lieu of required education
  • A higher-level degree may substitute for experience
  • Demonstrated knowledge of engineering principles and practices
  • Experience working in multi-disciplinary teams

Preferred:
  • Proficiency with DevOps and CI/CD methodologies.
  • Agile development experience
  • Experience with satellite system development, particularly in distributed command and control, data processing, or mission planning software
  • Proficiency in programming languages such as C, C++ in an embedded LINUX environment
  • Cross-disciplinary knowledge in software engineering, hardware engineering, integration, test engineering, quality engineering, and configuration/data management
  • Familiarity with test and security milestones (TRR, FAT/SAT, IATT, ATO)
  • Familiarity with development milestones (SRR, PDR, CDR)
  • Experience with various aspects of satellite system software (mission management, planning and scheduling, command and telemetry, satellite operations, flight dynamics models)
  • Guidance navigation control experience
  • KALMAN Filters
  • Development and deployment of simulation (software), emulation (hardware) for test and integration
  • FDIR (Fault, Detection, Isolation, and Recovery) familiarity
  • Familiarity with strict embedded systems hardware and software timing
  • Familiarity with satellite command constructs and frameworks including, but not limited to, immediate commands, timed commands, and sequencing
  • Telemetry and on-board data management
  • Type I Encryption and key management experience
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork capabilities
  • Ability to work in a fast-paced and dynamic environment
  • A commitment to continuous learning and development in software engineering practices
  • Min. Secret Security Clearance is required. TS/SCI preferred.

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