Machine Learning Engineer
New
1
10a LabsArtificial Intelligence
Fully remote, U.S.-basedFull-TimeMiddle
Salary130,000 - 200,000 USD per year
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Job Details
- Experience
- 3–5+ years
- Required Skills
- DockerPythonGCPKubernetesMLFlowPyTorchTensorflowNLPMLOpsComputer Vision
Requirements
- 3–5+ years of professional experience building and deploying machine learning systems.
- Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or TensorFlow
- Experience working across multiple modalities (Computer Vision or Natural Language Processing).
- Experience training, fine-tuning, evaluating, and deploying machine learning models in production environments.
- 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.
Responsibilities
- Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains.
- Develop and improve classification systems for safety, security, abuse detection, and intelligence applications.
- Conduct experiments to benchmark, evaluate, and compare AI models, including large language models and multimodal systems.
- Contribute to model distillation, optimization, and fine-tuning efforts to improve performance, efficiency, and deployability.
- 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.
- Provide technical expertise and guidance across client engagements and internal research initiatives.
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