Machine Learning Engineer

August 8

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10a Labs

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Artificial Intelligence • Cybersecurity • SaaS

10a Labs is an applied research and technology company specializing in AI security. It delivers intelligence collection, investigative research, and analysis for AI unicorns, Fortune 10 companies, and U. S. tech leaders. The company provides services that empower security teams and technology leaders to stay ahead of evolving threats, drive innovation, and protect their brands. Their work includes stress-testing AI models against threats, developing real-time threat detection systems, and monitoring cyber threats to enhance AI safety and security throughout the product development lifecycle.

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

📋 Description

•Build and deploy a multi-stage classification system optimized for high throughput and low latency, while ensuring high recall and precision. •Integrate continuous feedback loops from human review to refine model performance. •Design and implement real-world ML systems with a focus on robustness, observability, and scalability. •Collaborate with researchers and SMEs to generate training data and test against edge cases. •Work closely with a broader team of engineers to integrate ML components into production systems and ensure end-to-end system performance.

🎯 Requirements

•3–8 years of experience building and deploying machine learning systems in production. •Strong foundation in traditional ML techniques (e.g., clustering, anomaly detection, supervised learning). •Hands-on experience with LLMs (e.g., OpenAI, Claude, LLaMA), including fine-tuning and prompt engineering. •Proficiency in Python and modern ML / NLP tooling. •Experience training models on small datasets and using in-context learning techniques. •Familiarity with text processing pipelines, semantic embeddings, and vector search. •Clear communicator of complex technical concepts to non-technical audiences. •Experience deploying models in cloud environments (e.g., AWS, GCP). •Experience designing or integrating human-in-the-loop systems for model evaluation or policy alignment.

🏖️ Benefits

•Salary Range: $150K–$250K, depending on experience and location. •Bonus: Performance-based annual bonus. •Professional Development: Support for continuing education, conferences, or training. •Work Environment: Fully remote, U.S.-based. •Health Benefits: Comprehensive health, dental, and vision coverage. •Time Off: Generous PTO and paid holiday schedule. •Retirement: 401(k) plan.