AI Engineer

Reposted An Hour Ago
Campus, IL, USA
In-Office
155K-193K Annually
Mid level
Artificial Intelligence
The Role
The AI Engineer will build and deploy AI/ML/DL models, prepare datasets, test and evaluate model performance, and deploy solutions using containers, focusing on real-time analytics in remote locations.
Summary Generated by Built In

About the Company

Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense. 

With nearly half a billion dollars in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and BlackRock, and has collaborations and partnerships including NVIDIA, Palantir and Dell Technologies. We are looking for the most brilliant minds in the world to join us. 

Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world. 


 
About the role

At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems.

Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential.

If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets.

We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process. 

Location. This role is office-based at our Bellevue, Washington office. 

What You'll Do (Key Responsibilities)

  • Translating business requirements into requirements for AI/ML models.
  • Preparing data to train and evaluate AI/ML/DL models.
  • Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research.
  • Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations.
  • Deploying the models in production by containerizing the models.
  • Working with customers and internal employees to refine the quality of the models.
  • Establishing continuous learning pipelines for models with online learning or transfer learning.
  • Building and deploying containerized applications on the cloud or on-premise environments

Required Qualifications

  • BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience).
  • 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills.
  • Familiarity with containers, numeric libraries, modular software design.
  • Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling.
  • Expertise in supervised, unsupervised, and transfer learning techniques.
  • Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc).
  • Experience with solving and using machine learning for real-world problems.

Preferred Experience and Skills

  • Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems.
  • Proven experience producing computationally efficient software to meet real-time requirements.
  • Background with container platforms such as Kubernetes.
  • Strong analytical skills with a bias for action.
  • Strong time-management and organization skills to thrive in a fast-paced, dynamic environment.
  • Solid written and oral communications skills.
  • Good teamwork and interpersonal skills.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.

In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

  • Competitive base salary and equity
  • Medical, dental, and vision (subsidized cost)
  • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
  • Retirement plan options, including 401(k) and Roth 401(k)
  • Unlimited paid time off (PTO)
  • 14 paid company holidays per year

#LI-SM2

#LI-Onsite


Compensation
$154,560$193,200 USD

You're a Great Fit if You're

  • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge 
  • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude 
  • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
  • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda 
  • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you 

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.


Unsolicited Resumes and Candidates

Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.


Skills Required

  • 3+ years of work-related experience in software development
  • Good Python, Java, and/or C/C++ programming skills
  • BS or MS degree in computer science or related field
  • Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing
  • Experience in developing or using major deep learning frameworks
  • Familiarity with containers and numeric libraries

Armada Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Armada and has not been reviewed or approved by Armada.

  • Healthcare Strength Health coverage is positioned as comprehensive for employees and families, with additional 24/7 mental-health support. Some postings also describe medical/dental/vision as subsidized, which can strengthen the overall healthcare value proposition.
  • Leave & Time Off Breadth Time-off policy is described as flexible/unlimited PTO, and some postings cite roughly 14–15 paid company holidays. This combination signals above-minimum time-away coverage for many startup roles, if usage is supported in practice.
  • Equity Value & Accessibility Compensation is repeatedly framed as a mix of competitive salary plus equity participation, and multiple role descriptions explicitly include equity alongside cash. That structure can increase perceived total rewards for candidates who value ownership upside.

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The Company
HQ: San Francisco, CA
0 Employees

What We Do

Welcome to the new edge. Armada is the world’s first full-stack edge computing platform, revolutionizing connectivity, compute, and AI solutions where they’re needed most - anywhere on Earth.

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