Machine Learning Engineer

Description

Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to work across diverse environments—supporting internal product teams, commercial security clients, and U.S. federal customers—while solving meaningful problems with cutting-edge tools and research. At Tyto Athene, innovation meets mission-critical impact. Join a team where your ideas lead to real-world solutions for government and commercial partners. Work remotely with talented engineers, grow your skills, and help us redefine what’s possible with automation. 

 

Responsibilities:

• Serve as a subject matter expert in Machine Learning and its applications in Cyber Defense, researching and implementing differentiating and novel ML-based solutions to problems SOCs face. 
• Developing agentic solutions for Cyber Incident Response. 
• Solve complex security and architecture challenges with creativity and precision, with a focus on real-time performance and scalability. 
• Identify and recommend improvements to architectures, especially in secure environments. 

Qualifications

Required:

• U.S. Citizenship (required for federal projects) 
• 3+ years of experience with ML 
• 3+ years of experience with Cybersecurity, (purple preferred) 
• Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security-oriented system. 
• Experience developing pipelines that feed to an SOC, ideally an active system such as anomaly detection or IDS rather than just a static or periodically updated dashboard. 
• Proficiency with major cloud platforms, such as AWS, Azure and GCP 
• Excellent problem-solving, communication, and collaboration skills 
• Ability to work independently with distributed teams in a fast-paced, agile environment 
• Eagerness to learn new technologies and drive innovation 

Desired:

• Passionate about cybersecurity and the impact AI will have on the speed and scale of the industry. 
• Understands ML theory outside of the current trends, e.g. knows pre-LLM NLP theory and how approaches such as genetic algorithms and energy-based models work. 
• Exposure to DoD NetSecOps, even if only as a compliant, s.t. the applicant has an understanding of where the focuses are in DoD network security and what could help them. 
• Understands DoD and federal compliance and expectations with regards to security. 
• Understands more sophisticated and still-experimental ML approaches such as world models, neuro-symbolic learning, spiking neural networks, experimental RL objectives such as curiosity or information density, etc. 

About Tyto Athene

Compensation:

• Compensation is unique to each candidate and relative to the skills and experience they bring to the position. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range. 

Benefits:

• Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave.

 

Tyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation that drives measurable success. Our expertise spans four core technology domains—Network Modernization, Hybrid Cloud, Cybersecurity, and Enterprise IT—empowering our clients with cutting-edge solutions tailored to their evolving needs. With over 50 years of experience, Tyto Athene proudly support Defense, Intelligence, Space, National Security, Civilian, Health, and Public Safety clients across the United States and worldwide.  At Tyto Athene, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamTyto?  Tyto Athene, LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.