Machine Learning Engineer
June 3
🏢 In-office - San Francisco
Description
• Design, develop, and deploy machine learning algorithms and models, with a focus on Deep Learning and Computer Vision techniques. • Define and operate batch processing pipelines. • Create and maintain user documentation to help researchers onboard their AI models. • Develop large deep learning models with self-supervised learning on multimodal data. • Communicate findings to other engineers, operators, and leadership. • Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. • Conduct research to stay abreast of the latest advancements in machine learning, deep learning, and computer vision. • Optimize algorithms for performance, scalability, and efficiency, considering real-world deployment constraints. • Evaluate and validate models using appropriate metrics and datasets, ensuring robustness and reliability. • Mentor junior team members and contribute to knowledge sharing within the organization.
Requirements
• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. • 3+ years of work professional work experience in a fast-paced, high-growth environment. • Experience in developing machine learning solutions, with a focus on Deep Learning and Computer Vision. • Experience with Python, PyTorch, TensorFlow or similar frameworks for machine learning. to train deep learning models with supervised learning. • Experience with cloud platforms (e.g. AWS, GCP, Azure). • Experience with infrastructure-as-code tools (e.g. Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g. GitHub Actions, GitLab CI, Circle CI, Jenkins) is a plus.
Benefits
• Competitive salary and equity package • Comprehensive health, dental, and vision benefits • Hybrid work schedule (3 days in office) • Professional development opportunities • Dynamic and inclusive work culture with a focus on innovation and collaboration
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