ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs in Colorado

Auria

Chief Engineer

Colorado Springs, CO · On-site +1

$160K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Moore

Coordinator, Account Management

Westminster, CO · On-site +1

$20 - $26/hr

... remote role. SimioCloud, a Moore company, delivers advanced data, analytics, and machine learning solutions to help nonprofit organizations optimize fundraising and marketing performance. Our ...

Auria

Chief Engineer

Colorado Springs, CO · On-site +1

$169K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

next page

Showing results 1-20

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Colorado

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 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
Business Development Executive - US Space Force (Remote)

Business Development Executive - US Space Force (Remote)

T2S Solutions

Washington, DC • On-site, Remote

Other

Re-posted 6 days ago

Job description

This role will operate remotely from either CA, CO, or DC

Summary
T2S Solutions seeks a dynamic and experienced USSF Business Development (BD) Executive to drive growth and deliver impactful solutions to our Space Force clients. This role focuses on identifying, qualifying, and directly assisting in the capture of new business opportunities, fostering strategic relationships, and advancing our companys revenue and mission objectives.

The ideal candidate is a growth-minded, entrepreneurial leader with a strong track record of success and existing knowledge of current and future mission requirements for the Air Force and Space Force, and established relationships with key decision-makers. This position is remote but ideally based near major Air Force and Space Force Hubs.

Responsibilities

  • Shape and grow new work by winning single award Task Orders, contracts, and/or OTAs as a prime (priority) for T2S in the USSF market.
  • Shape and grow new work by capturing on-contract-growth (OCG) wins by leveraging existing contracts with available ceiling/scope (and through close coordination with program managers as required).
  • Personally responsible for the identification and qualification of high pWIN opportunities thru proactive shaping and customer engagements. Responsible for assisting in the capture these opportunities; build and execute customer call plans and solutioning sessions
  • Develop opportunities with key Space Force hubs and other strategic installations. Foster engagement with innovation hubs and programs such as SpaceWERX to identify partnership opportunities.
  • Build and sustain trusted relationships with USSF decision-makers, program offices, and industry partners.
  • Responsible for building, sustaining, analyzing, and sustaining a multi-year USSF CRM pipeline in SalesForce, and providing regular updates and gate reviews that track customer interactions, opportunity stages, and pipeline progress.
  • Conduct CRM updates to ensure volume, velocity, and veracity of the pipeline are kept within T2S established growth standards, maintaining a qualitative and quantitative pipeline aligned with T2S growth objectives
  • Provide detailed pipeline reporting, including opportunity health and customer engagement updates as required (weekly, bi-weekly, monthly)
  • Thrive in a fast-paced, innovation-driven environment that delivers solutions to complex technical mission challenges.
  • Deliver compelling company capability briefings, facilitate teaming discussions, and represent T2S at key industry events and conferences.
  • Collaborate with capture managers, program managers, and other resources within the T2S team to assist in crafting winning capture plans, strategies, and proposal submissions.
  • Assist in proposal reviews, ensuring alignment with customer needs and compliance with requirements.
  • Demonstrate adaptability, collaboration, and a customer-first approach in all efforts.

Required Qualifications

  • 5-7+ years of experience performing USSF business development; must be able to demonstrate success in winning contracts, OTAs, single award Task Orders and/or On-contract-Growth in a competitive environments
  • Ability to leverage trust-based relationships and intimate knowledge of customer base to obtain customer engagements with key stakeholders and decision makers.
  • Proven ability to shape, qualify, assist in capturing, and winning single award TOs, contracts, and/or OTAs in a full & open competitive environment.
  • Deep understanding of Space Force missions, acquisition strategies, and decision-making processes.
  • Has expert level knowledge and experience in pre-solicitation shaping and solutioning that results in high pWIN opportunities. Must be able to cite specific examples resulting in awards.
  • Active TS/SCI security clearance.
  • Bachelors degree in a relevant field (or equivalent proven experience).
  • Familiarity with current and emerging Air and Space priorities in advanced technologies, such as AI, machine learning, cybersecurity, and quantum computing.
  • Exceptional interpersonal skills, with a demonstrated ability to build trust and influence stakeholders.
  • Proficiency in CRM tools such as SalesForce and pipeline management.
  • Proven ability to work independently and collaboratively within a fast-paced, growth-oriented environment.
  • Demonstrated commitment to professional growth, innovation, and delivering results.

Desired Qualifications

  • Relationships and experience working within Space Force organizations.
  • Proven experience in developing and executing focused and successful business development strategies.
  • Familiarity with on-contract growth (OCG) strategies and successful program expansion.
  • Broader experience with other DoD markets is a plus.

T2S Solutions is an Equal Opportunity Employer/Protected Veteran/Disability

__PRESENT

Apply