Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.
Operate in an agile way, pushing for quick iterations guided by customers’ needs.
Be accountable for all research deliverables on small to medium-sized projects.
Communicate research in peer-reviewed publications and develop patentable ideas ensuring competitiveness of the company’s products and services.
Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.
Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.
Requirements
PhD in a relevant discipline or Master’s plus a comparable level of experience
5+ years of hands-on experience building IR / NLP systems for commercial applications
Experience writing production code and ensuring well-managed software delivery
Demonstrable experience translating complex problems into successful AI applications
Outstanding communication, problem-solving, and analysis skills
Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback
Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD (Preferred).
Benefits
Health insurance
401(k) matching
Flexible work arrangements
Paid time off
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
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