Machine Learning Engineer II - Maintenance
Flock Safety117,000 - 171,000 USD/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
CybersecurityIndustries
Requirements
Candidates should possess 5+ years of professional experience in Machine Learning Engineering or research, with a focus on cybersecurity, Natural Language Processing, or sequence/temporal modeling. They must have strong coding skills in Python, JavaScript (React), or similar languages, along with hands-on experience utilizing and fine-tuning large language models, embeddings, or multilingual models for cybersecurity applications. Proficiency in ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers is required, alongside familiarity with MLOps, model deployment, and monitoring practices. Experience with model validation and metrics, knowledge of cloud platforms (AWS, GCP, Azure), and understanding of secure coding, encryption, zero-trust, and zero-knowledge principles are also necessary. A Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience, is required, and applicants must be a ‘US Person’ due to the role’s involvement with GovCloud.
Responsibilities
The Machine Learning Engineer will be responsible for building, fine-tuning, and deploying models using LLMs, transformers, and sequence architectures to detect, classify, and analyze elevated access events and user behaviors in real time. They will generate and augment datasets using synthetic and multilingual data, scale ML experimentation and deployment pipelines with MLOps best practices, and create systems operating in cloud, on-prem, and self-hosted environments. Furthermore, the role involves continuously improving model performance, latency, and reliability, implementing secure, privacy-aware inference strategies, and collaborating with cross-functional teams to align ML efforts with product goals, writing clean, maintainable code and providing comprehensive documentation.
Skills
Machine Learning
Behavior Modeling
Anomaly Detection
GenAI
Real-time Data Processing
Cybersecurity
Sequence Modeling
Temporal Analysis
Keeper Security
Cybersecurity solutions for data protection
About Keeper Security
Keeper Security provides cybersecurity solutions aimed at protecting sensitive data for individuals and businesses. Its main product is a zero-knowledge security platform, which means that the company cannot access the data stored by its users, ensuring high levels of privacy and security. This platform is scalable, allowing it to adapt to the needs of various organizations, from small businesses to large enterprises. Unlike many competitors, Keeper Security is recognized for its extensive audits and certifications, which enhance user trust. The company operates on a subscription-based model, offering tailored plans for personal, family, student, business, and enterprise use, with options for multi-year commitments that provide savings. The goal of Keeper Security is to deliver reliable data protection while ensuring continuous updates and support for its users.
Key Metrics
Chicago, IllinoisHeadquarters
2011Year Founded
$58.6MTotal Funding
GROWTH_EQUITY_VCCompany Stage
CybersecurityIndustries
201-500Employees