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Startup Machine Learning Remote Jobs in Washington, DC

SAIC

Machine Learning Engineer

Chantilly, VA · Remote

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse ...

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$28.9K

$48.2K

$99.7K

How much do startup machine learning remote jobs pay per year?

As of Aug 7, 2026, the average yearly pay for startup machine learning remote in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.
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Startup Machine Learning Remote jobs near you

Machine Learning Engineer

SAIC

Chantilly, VA • Remote

$200K - $240K/yr

Full-time

Posted 2 days ago

New

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Job ID: 2615287

Location: Chantilly, VA, US

Date Posted: 2026-08-05

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning (ML) models tailored to diverse applications, while delivering innovative solutions under tight deadlines. The ideal candidate will possess expertise in Docker and containerization, with the ability to build and deploy ML models and tools in offline, standalone environments.

Key Responsibilities:

  • Research and evaluate open-source ML models, fine-tuning them to meet specific operational needs
  • Design and develop custom Python-based applications (desktop and web-based) for hosting ML models
  • Experience with web-based platforms such as ComfyUI, Gradio, and Streamlit is preferred
  • Apply a solid understanding of digital signal processing (DSP) to build effect chains that transform signals to achieve desired outcomes
  • Provide rapid responses to evolving operational requirements, executing agile development to deliver customized solutions
  • Collaborate with a multidisciplinary team to address mission-critical objectives through innovative approaches
  • Leverage data science techniques to evaluate datasets, identify trends, and inform decision-making

Required Skills & Experience:

  • Proficiency in Docker for building and managing containers
  • Strong knowledge of Python programming with a focus on ML application development
  • Familiarity with DSP techniques and their practical application in signal transformation
  • Experience developing and hosting ML models using both desktop and web-based interfaces
  • Ability to work effectively in a fast-paced environment, responding to ad-hoc requests with innovative problem-solving

Join our dynamic team to contribute cutting-edge ML solutions for high-impact projects. Your work will directly support critical mission operations in a challenging, fast-evolving environment.

Qualifications

Required:

  • Must be a US Citizen
  • Must have an active TS/SCI with Poly clearance
  • Bachelor's degree in computer science, math, data science or another technical/scientific field
  • Expertise with Python
    • ML Frameworks (pytorch, tensorflow, onnx)
    • Model hosting frameworks (ComfyUI, steamlit, gradio, FastAPI)
    • Data science libraries (Pandas, Numpy, SciKit-learn, Scipy, matplotlib/seaborn)
    • App Dev Frameworks (PyQt, tkinter)
  • Experience with Docker
  • Familiarity with Linux
  • Familiarity with Windows OS
  • Experience with version control software (Git)

Desired:

  • Audio hardware familiarity
  • Audio engineering/digital processing (DSP) familiarity
  • Kubernetes familiarity
    • Rancher
    • Longhorn
    • ArgoCD
  • Matlab
  • C++ (Cython wrapper around C++ application)

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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