[Remote] Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role involves working across diverse environments, supporting internal product teams and U.S. federal customers while solving reputed company reputed company challenges with innovative ML-based solutions.

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 reputed company reputed company and architecture challenges with creativity and precision, with a focus on reputed company-time performance and scalability
• Identify and recommend improvements to architectures, especially in secure environments

Skills

• 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 reputed company in a reputed company-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 reputed company 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
• Passionate about cybersecurity and the impact AI will have on the speed and scale of the industry
• Understands ML theory reputed company of the reputed company 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 reputed company and what could help them
• Understands DoD and federal compliance and expectations with regards to reputed company
• 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

Benefits

• Health/Dental/reputed company
• 401(k) match
• Paid Time Off
• STD/LTD/Life Insurance
• Referral Bonuses
• Professional development reimbursement
• Parental leave

Company Overview