Senior Machine Learning Engineer Task Force Talent is seeking senior machine learning engineers (possibly multiple openings for strong candidates) for a very well-funded series B 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. Target salary range is 120k to 200k+ + equity, depending on experience level and location. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic. The benefits are great and include: Company Equity Options and 401(k) Plan Unlimited PTO and Wellness Reimbursement U.S. Holidays Paid Parental Leave Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens only at this time. If you apply but this company is not a fit, we will consider you for other available positions as well. Qualifications: U.S. Citizen Any scientific or engineering background with strong AI/ML and software skills and experience Comfortable and experienced with coding (Python, Java, C#, etc.), MLOps tools and practices, and Elastic Search Experience with cloud-native solutions (AWS/Azure) to implement ML models Knowledge of ML frameworks (PyTorch, Scikit-Learn, Tensorflow, etc.) Experience with NLP techniques (tokenization, entity extraction, BERT and GPT language models, etc.) Solid understanding of algorithms, data structures, and the whole natural language processing for ML solutions (data exploration, model building, performance evaluation/testing, development, etc.) Minimum 5 years experience with focus on AI/ML and NLP BONUS: Foreign language fluency, particularly languages associated with threat actors Interview Process: This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks.