Senior Machine Learning Research Scientist - SAIL

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive benefits

Robust support network

Professional development opportunities

Job summary

A leading educational institution in Pittsburgh is seeking a Senior Machine Learning professional. In this role, you will lead interdisciplinary teams to transform research into operational capabilities for government clients. Candidates should possess a strong knowledge of machine learning, with experience in research project leadership being highly beneficial. Competitive benefits and a supportive work environment are offered, making this a great opportunity for career growth and collaboration.

Qualifications

• Ten years of experience with a Bachelor's degree, eight with a Master's, or five with a PhD.
• Ability to work with leadership to develop research strategies.
• Experience in publishing and leading research projects.
• Willing to travel up to 25% of the time to locations outside home location.
• Experience leading research projects in novel areas with limited previous work to build upon.
• Comprehensive knowledge of machine learning; adversarial machine learning preferred but not required.
• Strong written and verbal communication skills; ability to convey complex technical ideas.

Responsibilities

• Lead interdisciplinary teams to develop operational capabilities for government stakeholders.
• Plan, develop, and deliver research strategies.
• Convey complex technical ideas in layperson’s terms.

Skills

Comprehensive knowledge of machine learning

Strong written and verbal communication skills

Strong collaboration skills

Communication skills

Academic publishing

Collaboration

Education

Bachelor's degree in computer science or related field

Master's degree in the same fields

PhD in related discipline

Job description

As a Senior Machine Learning Your day-to-day research tasks will include: **Duties:** You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders. work with **Knowledge and Experience**Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not requiredExperience leading research projects in novel areas with limited previous work to build uponAbility to work with leadership to plan, develop, and deliver an overall research strategyStrong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms experience with publishing Strong collaboration skills for working with colleagues and sponsors **Requirements** 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 in with five (5) years of experience 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. * Please visit **“”** to learn more about becoming part of an institution inspiring innovations that change the world.* Click to view a listing of employee benefits* **Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran**.Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or how to sign up for through your candidate profile.**If your heart is in your work, come work with us.** Carnegie Mellon University isn’t just one of the world’s most renowned educational institutions – it’s also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you’ll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you’ll connect and collaborate with dedicated, passionate colleagues – and you’ll have the satisfaction of delivering work that truly matters.We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you’ll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni.The future is awaiting your expertise and intellect. Come join the architects of what’s next. Apply now.