필터 결과
152개정렬
1:27:41ENRon Minsky on the Saga of Multicore OCaml at Jane StreetYaron Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.
2:27ENWhat Jane Street Interns and Recruiters Say About ApplyingCharlie, Zeki, Kandasamy, Grace, Wes, Nae Nae, Alvin · Jane StreetInterns and recruiters describe the application process, problem-solving interviews, and how they think about finance experience.
3:13ENHow Jane Street’s Strategy and Product Team Works Across the FirmLily, Andrew, Basma · Jane StreetTeam members describe rotations, cross-functional projects and the skills they use to tackle ambiguous problems.
2:53ENJane Street Interns on Projects, Mentorship and LearningDylan · Jane StreetFormer interns and staff describe the learning, open-ended projects and relationships that shaped their internship experience.
1:19:40ENIan Henry on Building Trader Tools, Functional UIs and Creative CodingYaron Minsky, Ian Henry · Jane StreetFrom high-density options interfaces to a 3D playground, Ian Henry and Ron Minsky explore the software choices that make complex tools usable.
5:13ENHow Jane Street’s Accounting Team WorksCarmen, Ava, Hannah · Jane StreetAccounting staff describe shared responsibilities, automation, early involvement in decisions and growth in a flat organization.
47:08ENChris Casinghino on Making OCaml Safe for Performance EngineeringChris Casinghino · Jane StreetJane Street’s OCaml extensions use layouts and modes to offer more control over memory and parallelism while preserving safety and familiar programming patterns.
59:46ENIn Young Cho on Trading Research and Finding Signal in Financial DataYaron Minsky, In Young Cho · Jane StreetIn Young Cho and Ron Minsky discuss the blurred lines between trading, research, and engineering, and why machine learning in markets is difficult.
12:43ENHow OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.
1:03:21ENHorace He on Building ML Systems for Trillion-Trillion OperationsHorace He · MetaHow GPU bottlenecks, compiler design and distributed parallelism shape the systems behind large-scale model training.
27:16ENTudor Brindus on Finding and Reducing System JitterTudor Brindus · Jane StreetA memory ping-pong benchmark reveals how virtualization, interrupts, CPU frequency changes and speculation can disrupt low-latency systems.
40:33ENCharlie Marsh on uv: Python Dependency Resolution and PerformanceCharlie Marsh · AstralThe Astral founder explains universal lockfiles, Python packaging constraints, and the data structures and cache design behind uv.
2:50ENInside Jane Street’s 2024 Internship ProgramSanemi, Brian, Xavier, Abby, Marcus, In Young Cho · Jane StreetInterns and staff describe an 11-week program built around learning, collaboration and hands-on projects across several disciplines.
1:06:23ENSylvain Gugger on Accelerating ML Models and Reproducing ResultsYaron Minsky, Sylvain Gugger · Jane StreetFrom learning-rate schedules to GPU bottlenecks and noisy market data, Sylvain Gugger explains how he approaches practical machine-learning performance.
53:51ENLiora Friedberg on Solving Puzzles in ProductionYaron Minsky, Liora Friedberg · Jane StreetProduction engineering combines live incident response with software, process improvements and a culture that helps people learn from mistakes. Liora Friedberg and Ron Minsky explore the work at Jane Street.
9:25ENRichard Eisenberg: Using OCaml’s Coercion OperatorRichard Eisenberg · Jane StreetA practical tour of subtyping, polymorphic variants and private type abbreviations, with no runtime conversion cost.
7:17ENErik and Martin Demaine on the Mathematics of Curved-Crease SculptureErik Demaine, Martin Demaine · MITThe MIT father-and-son collaborators turn paper folding into art and research, embedding puzzles and mathematical fonts in their sculpture Solve Me.
8:06ENHow OCaml's Proposed Include Functor Syntax Reduces RepetitionRichard Eisenberg · Jane StreetA reverse-array example shows how to derive common module functions from a minimal implementation without an extra wrapper module.
4:51ENHow Jane Street’s Creative Engagement Team Shapes Company CultureTala, Lana · Jane StreetTeam members describe how events, design and digital projects bring colleagues together and introduce the firm to new people.
3:18ENRory on Production Engineering and Incident Support at Jane StreetRory · Jane StreetA production engineer describes monitoring order engines, responding to outages and building a supportive team.
3:16ENJP on Machine Learning and Trading at Jane StreetJP · Jane StreetA Hong Kong equities trader describes his changing workday, the growth of research infrastructure, and the distinctive challenges of machine learning in finance.
2:46ENMatt on Machine Learning and Trading at Jane StreetMatt · Jane StreetA Hong Kong equities trader describes the challenges of financial data, the firm’s ML roles and its collaborative culture.
1:03:36ENErin Murphy on Designing Tools for Expert UsersYaron Minsky, Erin Murphy · Jane StreetFrom NASA scientists to Jane Street engineers, a UX designer explains how observation, drawing and collaboration reveal what complex tools need to do.
14:36ENProgramming with OCaml's Local ModeRichard Eisenberg · Jane StreetAn example shows how a local list can contain global values, why a non-escaping annotation alone does not ensure stack allocation, and where the experimental feature remains awkward.
더 보기152개 중 24개 표시









