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overview
We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.
We are looking for a Senior Machine Learning Engineer to join our team, responsible for guiding the development and deployment of complex ML systems.
role
As a Founding Senior Machine Learning Engineer, you will play a pivotal role in architecting and deploying our core AI products on AWS. You'll work collaboratively with data scientists, backend engineers, and stakeholders to create robust, scalable, and highly performant systems. Your expertise in machine learning and AI technologies will be critical to the success and growth of our innovative products.
responsibilities
ML Architecture and Development:
Lead the architecture, build, and deployment of ML products using AWS cloud infrastructure. Develop robust and scalable ML models that deliver reliable, performant results. Implement continuous learning mechanisms for ongoing enhancement of ML and GenAI models. Driving Innovation and Efficiency in Large ML Systems:
Design and manage sophisticated ML orchestration frameworks (ZenML, Kedro, Flyte, Airflow, etc.) to streamline workflows and enhance scalability. Oversee and optimize complex multi-agent AI systems, ensuring seamless interaction, robustness, and high-level performance. Lead initiatives focused on innovation, efficiency, and best practices within large-scale machine learning and agent-based technologies. System Reliability and Optimization:
Ensure system reliability through rigorous testing, validation, and monitoring practices. Continuously optimize ML workflows for improved efficiency and scalability. Oversee deployment strategies to maintain high performance and fault tolerance in production environments. all about you
Proven track record of launching new AI products into production environments. Deep understanding of large-scale AI/ML system management. Strong grasp of core machine learning concepts, algorithms, and best practices. Demonstrated self-motivation, hacking mentality, and creative problem-solving abilities. location
Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.
compensation
$150K-$200K base salary + annual performance bonus + excellent benefits and perks + equity (.75 -1.5% )
employee opportunity employer
We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices.
If you require accommodations during the hiring process, please reach out to our recruitment team at join@sciemo.ai