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Jane Street works differently. As a liquidity provider and market maker, we trade on more than 200 trading venues across 45 countries and help form the backbone of global markets. Our approach is rooted in technology and rigorous quantitative analysis, but our success is driven by our people.

Our bright, beautiful offices in the heart of New York, London, Hong Kong, and Amsterdam are open and buzzing with conversation. We come from many backgrounds and encourage travel between offices to share perspectives. Some of our best ideas come from bumping into a visiting colleague at the office coffee bar.

Markets move fast. Staying competitive as we’ve grown has required constant invention—of new trading strategies, technology, and processes. We’ve found this is easier when you hire humble, kind people. They tend to help each other, and prioritize teamwork over titles.

We invest heavily in teaching and training. There’s a library and a classroom in every office, because deepening your understanding of something is considered real work. Guest lectures, classes, and conferences round out the intellectual exchanges that happen every day.

People grow into long careers at Jane Street because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we’re just getting started.

Software architect for machine learning infrastructure + analytics

Lyft

Volkswagen Group

Ford

USVP

Provider of AI-enabled solutions for autonomous driving. It develops software, hardware, mapping, and cloud-supported infra for autonomous driving. It integrates its technology with vehicles for the development of autonomous ride-sharing and delivery vehicles. It claims to develop LiDAR for autonomous vehicles.

Provider of AI-enabled solutions for autonomous driving

I work in Google Cloud AI, helping customers solve novel problems with cutting-edge technologies

Sequoia Capital

Kleiner Perkins

Jeff Bezos

David Cheriton

Ram Shriram

Andy Bechtolsheim

Asha Jadeja Motwani

Tugboat Ventures

Sherpalo Ventures

DFJ Growth

Plug and Play Tech Center

Western Technology Investment

Data Point Capital

Dot Edu Ventures

Designer Fund

NUMA

Signatures Capital

Cota Capital

Steelhead Ventures

Mobile10x

Public Investment Fund

Slayton Capital

Greyrock Investments

Siddhi Capital

Liso Venture

Developer of a keyword-based search engine platform. It enables users to search for various information like web pages, pictures, news, weather condition report, and files by providing keywords in the search bar. It uses a page rank algorithm to search and organize results for users. It also offers various features like voice-enabled search which makes challenged people access the platform and multi-lingual access. Its application is available for Android and iOS devices.

Developer of a keyword-based search engine platform

I write integrations enabling software partners to offer products with unique benefits when ran on Google Cloud Platform

I lead the software engineering arm of analytics at Harry's, identifying opportunities for technology and data to drive improvements across the business and leading the planning, design, and implementation of software solutions.
We're responsible for production systems in machine learning, data warehousing, third party data integrations, real-time intelligence in digital advertising, and tools for efficient data workflows in internal teams' business processes.

Harry's is a modern, vertically integrated grooming company with a mission to make it better for everyone to get ready, every day.
As part of the analytics team, I work on transforming, representing, and understanding all the data from our supply chain to our customer communications.

Highly dynamic role in small data engineering team, wearing architect, product, engineer, and data scientist hats.

Data pipeline projects including:
∎ ingestion and reporting systems for chat data in PostgreSQL
∎ specification and creation of clickstream data cubes in InfluxDB
∎ created ETL framework in PySpark to batch process clickstream data and load an Impala / HDFS cluster
∎ design and implementation of client-facing metrics reporting

Data science projects including:
∎ Implemented alerting system using statistical anomaly detection and specific business rules
∎ Implemented natural language processing models for conversation classification to scale human moderation team
∎ Conducted A/B tests and analyzed results in terms of visitor attributes (computed in PySpark) and clustering users into segments (using scikit-learn)
∎ Developed models for client growth forecasting, client ROI, and total addressable market sizing
∎ Developed fine-grained demand estimation and staffing models for clients providing live chat support
∎ Led investigation and impact analysis of live platform issues as well as advising product team on tradeoffs among solutions

            

    
    

    
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I help keep the quality data and insights rolling with SiteCompli, a powerful new technology that helps New York City real estate owners, managers and service companies keep on top of critical compliance issues. SiteCompli automatically and continuously aggregates and analyzes compliance data on violations, complaints, inspections and the like from the various New York City government agencies (i.e. DOB, ECB, DSNY, DOF, HPD, FDNY, etc). The technology does this in a small fraction of the time that people take to do the same task manually. This enables real estate organizations and the companies that service them to save time and money by avoiding unnecessary fines while enabling management staff to focus on solving high ROI problems rather than identifying them. Key benefits include:

> Notification of complaints before they become violations
> Reminders of hearing dates so you can avoid unnecessary fines
> Ensures equipment inspections are completed and filed on time
> Tracks key compliance dates, helping you prioritize repair work to maximize ROI
> And much more!

For more information, visit sitecompli.com
            

    
    

    
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SaaS driven title data as a service management solution for real estate professionals. Its technology keeps thousands of buildings safe and compliant with local laws by analyzing data from local government and turning it into actionable insights for the Citys top real estate owners and developers at tens of thousands of buildings.

SaaS driven title data as a service management solution for real estate professionals