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Startup Machine Learning Remote Jobs in Virginia

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$109K - $148K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

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 ...

New

Gnw

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Genworth Financial

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

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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 the most commonly searched types of Startup Machine Learning jobs in Virginia? The most popular types of Startup Machine Learning jobs in Virginia are:
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Startup Machine Learning Remote jobs near you
Director, Software Engineering - Shopping (Remote-Eligible)

Director, Software Engineering - Shopping (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

$255K/yr

Full-time

Posted 29 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

67th of 142 rated banks

Job description

Director, Software Engineering - Shopping (Remote-Eligible)

Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money.

As a Capital One Director of Software Engineering, you'll work on customer-facing web and services to help launch high visibility features and products. You will lead teams using cutting-edge frameworks, technologies and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, React, Python, REST, JSON, NoSQL databases, relational databases and AWS/Cloud Infrastructure to name a few.

You will:

  • Lead, manage and grow multiple teams of product focused software engineers

  • Mentor and guide the professional and technical development of engineers on your team.

  • Work with product managers to understand desired application capabilities and testing scenarios

  • Continuously improve software engineering practices

  • Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies

  • Lead the craftsmanship, availability, resilience, and scalability of your solutions

  • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community

  • Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity

  • Work across to improve the velocity of your and other teams

  • Lead efforts to deploy new and existing applications into AWS environments

  • Break existing monolithic applications into micro service architectures and build new microservices

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years' experience in software development

  • At least 5 years' experience in people management

Preferred Qualifications:

  • Master's Degree in Computer Science or a Master's Degree in Software Engineering

  • 10+ years' of experience in software development

  • 5+ years' of experience in Agile practices

  • 3+ years' of experience in launching product from the ground up

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Director, Software Engineering


McLean, VA: $269,100 - $307,200 for Director, Software Engineering










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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