Research Engineer, Machine Learning
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The role
We are seeking a Research Engineer, Machine Learning to translate cutting-edge ML research into robust, scalable software.
Core focus areas include probabilistic programming and statistical inference, deep learning, causal inference, program synthesis, and ML Ops.
Own end-to-end software projects from concept to production, with emphasis on performance engineering and distributed model training.
Collaborate across teams, contribute to language- and tooling-level work, and translate research ideas into reliable systems.
Operate with autonomy in ambiguous environments, solving real-world problems while maintaining high-quality code.
In-person position in New York City or Boston with on-site collaboration and occasional multi-day events.
Core focus areas include probabilistic programming and statistical inference, deep learning, causal inference, program synthesis, and ML Ops.
Own end-to-end software projects from concept to production, with emphasis on performance engineering and distributed model training.
Collaborate across teams, contribute to language- and tooling-level work, and translate research ideas into reliable systems.
Operate with autonomy in ambiguous environments, solving real-world problems while maintaining high-quality code.
In-person position in New York City or Boston with on-site collaboration and occasional multi-day events.
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