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Startup Machine Learning Remote Jobs in Reston, VA

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Showing results 41-60

Startup Machine Learning Remote information

See Reston, VA salary details

$26.5K

$44.3K

$91.6K

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

As of Aug 10, 2026, the average yearly pay for startup machine learning remote in Reston, VA is $44,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,800.00 and $47,900.00 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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What cities near Reston, VA are hiring for Startup Machine Learning Remote jobs? Cities near Reston, VA with the most Startup Machine Learning Remote job openings:

Data Scientist (Remote)

West 4th Strategy

Washington, DC • On-site, Remote

$135K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Data Scientist
ROLE
We need an experienced Data Scientist at the Office of the Under Secretary of the Army for Personnel and Readiness (OUSW(P&R)). The office oversees manpower and personnel data systems in support of Army-wide workforce planning and readiness initiatives. In this role, you will develop and automate Python scripts for data collection, cleaning, and preprocessing; build and implement machine learning models and predictive analytics; maintain and update ETL pipelines for manpower and personnel data sources; create data products and Qlik/Tableau reports and dashboards; and produce documentation covering report usage, data refresh procedures, and dashboard architecture. This is a full-time opportunity. We can offer a competitive salary and a comprehensive benefits package.
Apply today!
RESPONSIBILITIES
  • Develop and automate Python scripts for collecting, cleaning and preprocessing data.
  • Work with cross functional teams to translate business requirements into data-driven solutions.
  • Create reports and visualizations in Qlik sense to communicate findings and insights effectively, matching needs of stakeholders and users.
  • Build and implement machine learning models and/or predictive analytics.
  • Maintenance of Historical Data for Faces to Spaces Data Model
    • Troubleshooting issues with ETL to a quick resolution
    • Updating ETL to reflect new data elements for new and existing manpower and personnel data sources
    • Data ingestion and transformation
    • Monthly updates / automation of new data ingestion and visualization
  • Create Data Products
    • Interpret data requirements and develop Qlik/Tableau Reports
    • Refactoring/repointing data ingest of dashboards from databases
    • Create documentation on how to use reports, how to refresh the data and overall dashboard architecture

REQUIRED EDUCATION / CERTIFICATIONS
  • Bachelor's degree in information technology, computer science, mathematics, or a related field - required

REQUIRED EXPERIENCE / SKILLS
  • 3-10 years' experience directly related to the outlined role responsibilities
  • 3 years' experience as a Data Analyst or Data Scientist, with demonstrated hands-on experience with technologies such as Databricks, Python, Spark, and Pandas
  • Proficiency in Qlik
  • Experience with building, training and deploying machine learning
  • Detail-oriented mindset with a commitment to delivering high-quality results with little direction/oversight
  • Comfortable using AI tools to improve product quality and delivery speed

PREFERRED EXPERIENCE / SKILLS
  • Experience with Microsoft Power BI
  • Experience with cloud data structures such as AWS S3, delta and external tables
  • Experience with Machine Learning models and/or Generative AI
  • Demonstrated experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems

LOCATION
  • Remote - Eastern Standard Time zone - preferred but not required

CLEARANCE
  • U.S. Citizenship - required
  • Active Secret clearance - required

CLIENT
  • Office of the Under Secretary of War for Personnel and Readiness (OUSW(P&R))
TRAVEL
  • No travel required

WORK HOURS
  • 40 hours per week
  • 8 hours per working day

EMPLOYMENT CLASSIFICATION
  • Employment Classification Eligibility - W2

COMPENSATION
  • Salary range: $135,000 - $150,000
  • Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options

West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.
Other Considerations: applicants will be subject to a background investigation. Individual's primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.