[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. 10a Labs is a company focused on safety and threat intelligence for AI systems. They are seeking a Machine Learning Engineer to design, build, evaluate, and deploy machine learning systems for various applications related to safety, security, and intelligence.ResponsibilitiesDesign, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domainsDevelop and improve classification systems for safety, security, abuse detection, and intelligence applicationsConduct experiments to benchmark, evaluate, and compare AI models, including large language models and multimodal systemsContribute to model distillation, optimization, and fine-tuning efforts to improve performance, efficiency, and deployabilityDesign evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safetyBuild agentic systems and automated workflows for evaluation, red teaming, research, and large-scale experimentationOwn ML projects from initial research and prototyping through production deployment and monitoringPartner with software engineers to productionize ML systems and support ongoing improvementsProvide technical expertise and guidance across client engagements and internal research initiativesSkills3–5+ years of professional experience building and deploying machine learning systemsStrong proficiency in Python and modern machine learning frameworks such as PyTorch and/or TensorFlowExperience working across multiple modalities, with expertise in one or more of: Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areasExperience working across multiple modalities, with expertise in one or more of: Natural Language Processing: LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic applications, or related areasExperience training, fine-tuning, evaluating, and deploying machine learning models in production environmentsExperience designing evaluation methodologies, benchmarking systems, and model performance metricsExperience 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 servicesFamiliarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferredExperience working with frontier language models, multimodal foundation models, or AI safety evaluationsPrior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or related domainsExperience with retrieval-augmented generation (RAG), AI agent frameworks, and context orchestration systems such as LangChain, LlamaIndex, OpenAI Agents, or AutoGenBenefitsPerformance-based annual bonusSupport for conferences, continuing education, or leadership trainingFully remote, U.S.-basedComprehensive health, dental, and vision coverageGenerous PTO and paid holiday scheduleCompany Overview10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. It was founded in 2021, and is headquartered in , with a workforce of 11-50 employees. Its website is https://10alabs.com/.