Staff Machine Learning Engineer (Remote - US)
Description For Staff Machine Learning Engineer (Remote - US)
Join Abnormal Security as a Staff Machine Learning Engineer in a role that combines cutting-edge AI technology with cybersecurity. This position offers an exciting opportunity to architect and develop large-scale machine learning systems that protect organizations from evolving security threats. As a technical leader, you'll be at the forefront of developing and implementing sophisticated detection models that power real-time message analysis, directly impacting the security of thousands of global enterprises.
The role demands expertise in deep learning, behavioral analysis, and system design, offering the unique opportunity to influence foundational AI infrastructure. You'll work with a team of top-tier engineers, leading multiple ML workstreams and mentoring others while shaping the broader machine learning roadmap. The position requires strong technical leadership skills and deep expertise in machine learning, with responsibilities spanning from architecture design to hands-on implementation.
Working in a remote-first environment, you'll enjoy competitive compensation ranging from $229,500 to $270,000 USD, plus equity and comprehensive benefits. The company offers excellent growth opportunities within a fast-scaling, AI-driven organization, along with flexibility and strong support for work-life balance. This role is perfect for experienced ML engineers who want to make a significant impact in cybersecurity while working with cutting-edge technology.
You'll be responsible for the full ML lifecycle, from data analysis and prototyping to production deployment and performance monitoring. The role requires both strategic thinking in designing scalable solutions and tactical expertise in implementing and optimizing ML systems. With 8+ years of experience required, you'll bring deep technical knowledge and leadership skills to drive innovation in cybersecurity through advanced machine learning applications.
The position offers the chance to work on meaningful problems in cybersecurity while advancing your career in a supportive, technology-driven environment. You'll collaborate with cross-functional teams, influence product direction, and help build the next generation of AI-powered security solutions. If you're passionate about machine learning, cybersecurity, and technical leadership, this role provides an excellent opportunity to make a significant impact while working with cutting-edge technology.
Responsibilities For Staff Machine Learning Engineer (Remote - US)
- Act as a technical leader and domain expert across multiple ML workstreams, mentoring teams and influencing the broader machine learning roadmap
- Architect scalable, generalizable ML systems that address critical detection gaps
- Lead strategic initiatives, including global model training infrastructure and cross-team ML platforms
- Own the full ML lifecycle: data analysis, prototyping, training, production deployment, and performance monitoring
- Troubleshoot complex model behaviors
- Design automated retraining and evaluation pipelines
- Collaborate with cross-functional stakeholders
Requirements For Staff Machine Learning Engineer (Remote - US)
- 8+ years of experience developing impactful, large-scale ML systems
- Proven expertise in building, deploying, and optimizing ML models
- Deep understanding of machine learning theory
- Strong hands-on experience across the ML stack
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Demonstrated ability to diagnose and resolve performance issues with complex models
- Bachelor's degree in Computer Science, Applied Sciences, or related field
- Ability to drive architecture-level ML strategy
Benefits For Staff Machine Learning Engineer (Remote - US)
- Base salary range: $229,500 – $270,000 USD
- Annual performance bonus and equity (RSUs) available for eligible roles
- Comprehensive medical, dental, and vision insurance
- Flexible work hours and remote-first culture
- Paid parental leave and wellness support
- Home office setup allowance
- Career growth opportunities within a fast-scaling, AI-driven organization
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