10a Labs · 1 day ago
Machine Learning Engineer
United States
Full-time
Remote
Mid, Senior Level
$150K/yr - $250K/yr
3+ years exp10a Labs is an applied research and AI security company trusted by AI unicorns and Fortune 10 companies. They are seeking a Machine Learning Engineer to own the full ML lifecycle, including data pipelines, model training, evaluation, and deployment in production environments.
Research
Responsibilities
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
Qualification
Required
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
Preferred
Real-time ML pipelines
Scaled moderation or large-scale threat detection
Vision, audio, OCR, or deepfake classification
Designing multilingual embedding systems with code-switch detection
Agentic pipelines for explainable or rationale-based moderation
Rapid prototyping using modern LLM APIs and frameworks (e.g., OpenAI, Hugging Face, LangChain)
Error analysis and model forensics—comfortable diving into false positives and failure modes
Benefits
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.
Company
10a Labs
10a Labs is an applied research and technology company specializing in AI security.
Founded in 2021
11-50 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase