10a Labs
Machine Learning Engineer
Washington D.C
Sponsorship not specified$130k-$200kDetected 8 days ago
PythonAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningTensorFlowPyTorchNLPComputer VisionLLMsRAGAgentic AIMLOpsAI OrchestrationA/B TestingCybersecurityResearchLeadership
About the role
- This role spans the full ML lifecycle, from dataset development and experimentation to model training, evaluation, deployment, and monitoring.
- You will work both independently and collaboratively across projects involving multimodal classification systems, frontier model evaluations, model distillation research, and agentic workflows.
- The ideal candidate combines strong engineering fundamentals with a research mindset and enjoys tackling ambiguous, high-impact problems at the frontier of AI.
Responsibilities
- Develop and improve classification systems for safety, security, abuse detection, and intelligence applications.
- Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safety.
- Build agentic systems and automated workflows for evaluation, red teaming, research, and large-scale experimentation.
- Own ML projects from initial research and prototyping through production deployment and monitoring.
- Partner with software engineers to productionize ML systems and support ongoing improvements.
- You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies.
Requirements
- Experience working across multiple modalities, with expertise in one or more of:
Nice to have
- Experience designing evaluation methodologies, benchmarking systems, and model performance metrics.
- Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
- Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ML infrastructure, workflow orchestration, storage, and database services.
- Experience working with frontier language models, multimodal foundation models, or AI safety evaluations.
- Prior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or related domains.
- Experience with retrieval-augmented generation (RAG), AI agent frameworks, and context orchestration systems such as LangChain, LlamaIndex, OpenAI Agents, or AutoGen.
Compensation
- Salary Range: $130K-$200K, depending on experience and location
- Bonus: Performance-based annual bonus
Benefits
- Comprehensive health, dental, and vision coverage
- Time Off: Generous PTO and paid holiday schedule
- image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas.
- Performance-based annual bonus
- Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains.
- Support for conferences, continuing education, or leadership training
Apply directly at 10a Labs →Create a free account for alerts like thisView 10a Labs immigration profile
This listing is sourced directly from 10a Labs's careers page and normalized into a canonical job model.