Task Force Talent is seeking a Machine Learning/Mathematics Researcher for a very well-funded early-stage company working on automated methods to build highly reliable, large-scale software systems. The key responsibilities in this role will be to conduct advanced research in machine learning and mathematical approaches to software analysis, develop novel algorithms, and collaborate with engineering teams to implement theoretical advances into practical solutions.
There is a very high bar for this role. To be competitive, candidates should have a strong background in theoretical computer science and be able to pass computer science oriented technical interviews in addition to having a strong background in mathematics and machine learning.
The founding team at this client is exceptional: they have started and sold two prior companies, the last one to a top tech giant, and they have built systems that others said could not be built. They have assembled a team (~40-50) of incredibly talented, very high-end scientists and engineers who like to solve "impossible" problems. Morale at this company is very high, and so are the hiring standards. This company is looking for top engineers who can work with a team and enjoy what they do.
Target salary range is 120k to 250k+ plus equity, depending on experience level. (Note: At $170k base salary or above, generally candidates need at least 5+ years of experience and a very strong interview.)
All positions are full-time, in-office near Tysons Corner, VA, in the Virginia tech corridor. There is a small future possibility of work in the UK.
This company is completely focused on the private sector, no security clearance required. However, employment is open to U.S. citizens or Lawful Permanent Residents (Green Card) only at this time. We are unable to sponsor visas. If you apply but this company is not a fit, we will consider you for other available positions as well.
Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: https://www.taskforcetalent.com/referral/ (Terms and conditions apply.)
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Qualifications
- U.S. Citizen or Lawful Permanent Resident
- PhD in Computer Science, Mathematics, or related field required
- Relevant research experience in machine learning, mathematical modeling, or software analysis
- Strong publication record in relevant fields
- Experience with implementing theoretical concepts in practical applications
- Deep understanding of machine learning algorithms and mathematical optimization
- Strong programming skills and experience with ML frameworks
- Experience with large-scale data analysis and modeling
- Ability to bridge theoretical research with practical engineering solutions
- Strong analytical and problem-solving skills
- Excellence in research documentation and technical writing
- Experience presenting complex technical concepts to diverse audiences
- Track record of innovative thinking and novel problem-solving approaches
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Interview Process
The process typically involves an initial phone screen, a technical coding interview (can be virtual), and several on-site interviews. Often part of the on-site interview is a technical presentation on a problem the candidate has solved or something the candidate has built, and the discussions will go from there. This company has genius-level engineers who like to get into the details!
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About us:
Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series C startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium-sized government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you!
If you don't see the perfect fit, simply use our general application at: https://taskforcetalent.breezy.hr/p/5bbc3c44433e-single-application-for-all-jobs-general