Join a world-class team of machine learning researchers with an extensive track record in both academia and industry
Research, develop, and apply new techniques in deep learning to advance our industry leading products
Work with large-scale, real-world datasets that range from banking transactions, to large document collections
Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround

Requirements

PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field
Strong background in machine learning and deep learning
2+ years of research experience with publication record
Proven track record of applying machine learning to solve real-world problems
Depth of experience in relevant ML research disciplines
Hands on experience in software systems development
Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
Experience with Spark, SQL, or comparable database systems
Experience using GPUs for accelerated deep learning training
Familiarity with cloud computing systems like Azure or AWS
Experience in LLM post-training and inference methods
Deep understanding of reinforcement learning and its applications to agent training

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningPytorchTensorflowJaxSparkSQLGPU computingreinforcement learningLLM post-training

Soft Skills

collaborationresearchproblem-solvingadaptabilitycommunication

Certifications

PhDMaster’s degree