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Startup Machine Learning Remote Jobs in Virginia

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

ManTech

Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

This role heavily emphasizes structural data integrity, deep machine learning pipelines, and robust ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Axiom Path

Lead Data Engineer 3624301

Richmond, VA · Remote

$114K - $187K/yr

... machine learning, operational reporting, and customer-facing products. What's In Store For You This is a full-time, remote opportunity for candidates residing in approved Eastern Time states or ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Lean Startup lets us turn those ideas into business models that work, quickly and for the least ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Machine Learning Model Development: * Design, develop, and deploy predictive models using advanced ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Machine Learning Model Development: * Design, develop, and deploy predictive models using advanced ...

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Startup Machine Learning Remote information

What are the key skills and qualifications needed to thrive as a Startup Machine Learning Engineer in a remote setting, and why are they important?

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 are remote startup machine learning jobs?

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 machine learning professionals working remotely at a startup?

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.
What are popular job titles related to Startup Machine Learning Remote jobs in Virginia? For Startup Machine Learning Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Startup Machine Learning Remote jobs in Virginia look for? The top searched job categories for Startup Machine Learning Remote jobs in Virginia are:
What cities in Virginia are hiring for Startup Machine Learning Remote jobs? Cities in Virginia with the most Startup Machine Learning Remote job openings:
Startup Machine Learning Remote jobs near you
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Posted 15 days ago

Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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