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Internship Machine Learning Startup Jobs in Virginia

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115.90K - $152.70K/yr

Role: Lead Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option ... Internship experience does not apply) * Proven track record in designing, building, and/or ...

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What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

What are the most commonly searched types of Machine Learning Startup jobs in Virginia? The most popular types of Machine Learning Startup jobs in Virginia are:
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Internship Machine Learning Startup jobs near you

Lead Machine Learning Engineer

Hirekeyz Inc

Fort Belvoir, VA • On-site

$115.90K - $152.70K/yr

Contractor

Posted 12 days ago

Job description

Role: Lead Machine Learning Engineer

Location: Ft. Belvoir, VA (On-site with Hybrid Option)

Duration: Long Term Contract

Job Description:

As a consultant, will be working to assist a DoD U.S. Army Command to create cybersecurity solutions working with cloud-based architecture (AWS Services).  You will work directly the stakeholders to understand requirements and work with Army’s Security teams to ensure the technologies available to the Government can be turned into solutions that they can use. Liaise with government software vendors and other asset creators; lead coordination of point solutions into broader capabilities for Army Defense Cyber Operations (DCO).  You will be helping our military defend our cyber security infrastructure by delivering software capabilities. 

Required Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
  • Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Be a trusted advisor to the Government to ensure all third party vendors platforms and code delivered is “fit for purpose”
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
  • Use programming languages like Python, Scala, or Java.
  • Abilty to mentor and coach junior resources with delivery tasks.
  • Self-motivated, with the ability to work effectively both independently and in a team environment

Preferred Skills:

  • Certifications in Machine Learning / Artificial Intelligence / Data Science
  • Familiarity with agile development methodologies
  • 5-8 years of experience in a ML/AI development and/or lead role