# Software Engineer- Machine Learning at Noctua Technology

> United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Anoctuatechnology%3A4424812009 (read 2026-11-10).

## Facts (observed)

- Company: [Noctua Technology](https://alderhq.app/companies/noctua-technology)
- Location text: DC, MD, VA, CA; DC Metro Area Hub; Headquarters
- Where it can be done from (inferred): United States (evidence: "Location: DC, MD, VA, CA; DC Metro Area Hub; Headquarters")
- Posted: 2026-10-03 (38 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/noctuatechnology/jobs/4424812009
- Skills listed (inferred): Python, C++, AWS, GCP, Azure, Kubernetes, Docker, Spark, PyTorch, TensorFlow

## Pay and sponsorship

- Posted pay: $115k–$185k per year (from the description)
- Market band for similar posted roles (United States, n 735): p25 $183k, median $224k, p75 $275k

## Description (the employer's text)

The Machine Learning & Artificial Intelligence discipline at Noctua Technology, LLC is at the forefront of pioneering advancements in intelligent technologies. We specialize in developing and deploying cutting-edge algorithms, models, and systems that enable automation, predictive analytics, and data-driven decision-making. We work closely with clients to harness the power of AI & ML, driving innovation and solving complex challenges across various domains.

We are seeking a talented and motivated Machine Learning Engineer to join our dynamic engineering team. As a member of our engineering team, you will play a crucial role in designing, developing, and implementing cutting-edge machine learning solutions to solve complex problems for our customers.

- Location: Primarily Remote. Candidates must be based in San Diego, CA or DC Metro Area for proximity to project and client teams.
- Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above.
Key Reponsibilities

### Data Collection and Integration

- Acquire, clean, and preprocess diverse datasets from various sources.
- Develop and maintain data pipelines to ensure a continuous flow of high-quality data.
### Machine Learning Model Development

- Design and implement machine learning models to solve complex business problems.
- Conduct experiments, train models, and optimize algorithms for performance and accuracy.
### Collaboration and Documentation

- Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions.
- Create and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team.
### Customer Engagement

- Act on client feedback constructively to improve services and outcomes.
- Continuously seek ways to enhance the overall customer experience.
### Continuous Learning and Innovation

- Stay updated on the latest developments in machine learning, data science, and analytics.
- Drive innovation by proposing and implementing new techniques and technologies.
Qualifications

- Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
- Experience deploying machine learning models into production systems.
- Experience in containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Strong proficiency in programming languages such as Python or C++.
- Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code.
- Familiarity with version control systems (e.g., Git) and collaborative development workflows.
- Excellent problem-solving and critical-thinking skills.
- Effective communication skills and ability to work in a collaborative team environment.
### Preferred qualifications

- Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Google Cloud Professional Cloud Architect
- Google Cloud Professional Machine Learning Engineer certification
- Experience with data processing tools and technologies (e.g., Spark, Hadoop).
- Familiarity with deep learning and neural networks.
Salary Range: $114,580 -$185,265

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Anoctuatechnology%3A4424812009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.