phare-r1-r37 - Research Scientist

• Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX - strong preference for applied research which has made its way into production • Research expertise in one or more of: interpretability, reinforcement learning, retrieval-augmented generation, or long-context information retrieval • Comfortable running large-scale training and evaluation on distributed infrastructure (e.g., Ray, FSDP, Lightning) • Track record publications at top ML venues (e.g., NeurIPS, ICML, EMNLP, MLHC, CHIL) • We are looking for candidates at various levels, ranging from Level 2 to Staff • L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work • L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work • Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. • Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization. • Technical deep-dives - pseudo-coding exercise and systems design (not Leetcode) • Culture interview in person in NYC • Interview Logistics Notice • As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodation will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants. • For this US-based position, the base pay range is $140,000.00-$300,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training. • This job is eligible to participate in our annual bonus plan.