What are the responsibilities and job description for the Lead Machine Learning Engineer (Hybrid/ U.S. Citizens Only) position at Task Force Talent?
Task Force Talent is seeking senior machine learning engineers (possibly multiple openings for strong candidates) for a well-funded Series C company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Salary range is 170k to 225k , plus equity, depending on experience level and location.
The company is profitable and growing fast with approximately 150 employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT, with a hybrid (typically 3 days/week in the office) schedule; however, those hours are flexible to accommodate family/childcare and traffic as the goal of in-office hours is to know your team better.
Benefits
- Company Equity Options and 401(k) Plan
- Unlimited PTO and Wellness Reimbursement
- U.S. Holidays
- Paid Parental Leave
- Comprehensive Insurance (Medical, Dental, and Vision)
No existing security clearance required; however, employment is open to U.S. citizens only at this time as candidates must be security clearance eligible.
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Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field; Advanced degree preferred
- 7 years of ML/AI experience with NLP focus
- Expert-level Python programming and software engineering practices
- Production ML pipeline deployment experience with AWS
- Deep knowledge of PyTorch, Scikit-Learn, and TensorFlow
- Proven experience with large-scale data analysis
- Advanced understanding of modern NLP architectures and techniques
- Outstanding communication and leadership abilities
BONUS: Foreign language fluency, particularly languages associated with threat actors.
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Interview Process
This company typically has a phone screen, followed by a coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks.
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!
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