Task Force Talent is seeking mid to senior-level machine learning (AI/ML) engineers (possibly multiple openings, at least one lead position) for a very well-funded early-stage company working on automated methods to detect flaws in large software systems. The key responsibility in this role will be to apply AI/ML techniques to identify software bugs and/or reduce the search space for where to look for them. Please note this also includes significant components of software engineering and is not just building models.

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 that 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 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
  • Strong background in computer science; this company is open to physicists/mathematicians but in our experience candidates typically need to have theoretical computer science foundations or significant coding experience to pass the technical interviews
  • Candidates must be comfortable with and have a track record of solving hard problems. For this specific role, candidates should have a good understanding of AI/ML techniques and experience using it to deliver results. (Again, not just plug and chug or building models and throwing them over the wall.)
  • Strong programming experience and credentials. Any serious language is ok. This company assumes any candidate they hire is smart enough to figure out the syntax of a new language and use the right tool for the job.
  • Solid understanding of algorithms and data structures as well as cloud experience (any of the major providers, AWS, Google Cloud, Azure.)
  • At least 3, ideally 5+ years experience

____________________________________________________________________________________________________________________________________ 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 B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size 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