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Overnight Machine Learning Research Scientist Jobs in Virginia

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Overnight Machine Learning Research Scientist information

What are the key skills and qualifications needed to thrive as an overnight machine learning research scientist, and why are they important?

To thrive as an Overnight Machine Learning Research Scientist, you need a solid background in computer science, statistics, and mathematics, typically with a graduate degree in a related field. Proficiency in Python, TensorFlow or PyTorch, and experience with large-scale data systems are commonly required, along with relevant research publications or certifications. Strong problem-solving abilities, self-motivation, and clear written communication help you excel when working independently during overnight hours. These skills ensure effective research progress, continuous machine learning model development, and successful collaboration across time zones.

What are the unique challenges of working as an overnight machine learning research scientist, and how is collaboration typically managed during off-hours?

As an Overnight Machine Learning Research Scientist, one of the unique challenges is maintaining effective communication and collaboration with teams that primarily work during daytime hours. To address this, organizations often utilize detailed handover notes, asynchronous communication tools, and regular overlap meetings to ensure research progress is continuous and aligned. You may also find that overnight shifts allow for uninterrupted experimentation and model training, which can be advantageous for large-scale computational tasks. However, adapting to the overnight schedule and balancing it with personal well-being is essential for long-term success in this role.

What does an overnight machine learning research scientist do?

An Overnight Machine Learning Research Scientist is responsible for conducting research and developing new machine learning models and algorithms during overnight shifts. Their work often involves running large-scale experiments, analyzing data, and collaborating with global teams in different time zones. These scientists help ensure that research and development work continues seamlessly around the clock, accelerating innovation and supporting real-time projects. The overnight schedule may also involve monitoring models in production and troubleshooting any issues that arise during off-hours.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Virginia?

The most popular types of Machine Learning Research Scientist jobs in Virginia are:

What cities in Virginia are hiring for Overnight Machine Learning Research Scientist jobs?

Cities in Virginia with the most Overnight Machine Learning Research Scientist job openings:

Overnight Machine Learning Research Scientist jobs near you

Senior Machine Learning Research Scientist - Secure AI Lab

Carnegie Mellon University

Arlington, VA • On-site

$113K - $144K/yr

Full-time

Re-posted 23 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is a leading research institution, and they are seeking a Senior Machine Learning Research Scientist for their Secure AI Lab. The role focuses on conducting research into the vulnerabilities of AI and ML algorithms, developing defenses against these vulnerabilities, and collaborating with interdisciplinary teams to create operational capabilities for government customers.
Responsibilities:
• Conduct and lead novel research in applied machine learning and artificial intelligence.
• Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
• Work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.
• Actively participate on teams of software developers, researchers, designers, and technical leads. Build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.
• Contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.
Qualifications:
Required:
• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience
• Willingness to work onsite at an SEI facility 5 days per week.
• Be able to obtain and maintain an active Department of War security clearance.
• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required
• A track record of conducting research and applying scientific methods to solve difficult problems
• Experience leading research projects in novel areas with limited previous work to build upon
• Ability to work with leadership to plan, develop, and deliver an overall research strategy
• Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms
• Proficiency in writing funding proposals or pitching ideas for new research projects
• Ample experience with publishing written or technical artifacts showcasing your work
• Strong collaboration skills for working with colleagues and sponsors
• Willingness to guide and mentor junior team members
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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