Lead Search Engineer
CurrentMaking expert knowledge accessible and consumable for everybody
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@google.com
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Chris Varano is listed as Lead Search Engineer at Consensus at Consensus, based in Seattle, Washington, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 650, and a matched LinkedIn profile for Chris Varano.
Chris Varano previously worked as Lead Search Engineer at Consensus and Software Engineer - Fitbit at Google. Chris Varano holds Graduate Certificate, Artificial Intelligence from Stanford University.
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AeroLeads found 1 current-domain work email signal for Chris Varano. Compare company email patterns before reaching out.
Summary:• 10+ years ML and software engineering experience at Google and Amazon• Experienced with ML at massive scale• Graduate Certificate in Artificial intelligence from Stanford University• Bachelor of Computer Science from the University of WaterlooCareer Interests:• Applying AI techniques in domains that positively impact our daily lives• Improving ML performance by building off of previous research• NLP and NLU• Computer vision and machine perception• Multi-agent reinforcement learningOther Interests:• Learning languages• Genetics, evolution, and medicine• Applying ML to the above fields• Learning music (violin, music theory)
Listed skills include Python, Software Engineering, Machine Learning, Big Data, and 27 others.
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Boston, Massachusetts, Us
Making expert knowledge accessible and consumable for everybody
Mountain View, Ca, Us
Empowering and inspiring users to live a healthier, more active life.
Mountain View, Ca, Us
Natural language generation: crafting messages in fluent, idiomatic, conversational natural language.
Seattle, Wa, Us
- Research topics: Neural Language Model Adaptation; N-best Rescoring in ASR Systems- Improved our flagship US English language model, reducing downstream WER by 4%.- Shipped three new language models for customers.
Palo Alto, Ca, Us
- Built modern infrastructure on Spark and AWS for computing the top behavioural features used in all of Amazon Search’s ranking models.- Designed, prototyped and shipped the first consolidated model in Amazon Search- Introduced a new modeling methodology to the team, which then became an organization-wide goal.- Improved understanding of customer intent for gem type queries, reducing search defects by 35 percentage points.- Trained, evaluated, and shipped 4 GBDT models in difficult-to-optimize categories.- Improved the Spelling Correction service, reducing false negatives by 6 percentage points, and increased revenue by $120MM.- Machine Learning Bar Raiser: Met with ML scientists and engineers from across Amazon who contribute to search ranking; enforced model training best practices; helped contributors debug their models and their data.- Weblab Bar Raiser: Peer reviewed hundreds of A/B tests performed across Amazon to ensure they followed best practices for hypothesis testing.
Palo Alto, Ca, Us
- Redesigned Amazon's "Popularity" and "New and Popular" rankings: two main focuses being 1) more resilient to fraudulent merchants, and 2) more robust to seasonal effects.- Dove deep into past behavioural data using Hadoop/Pig and R in order to discover and analyze unexpected patterns in customer behaviour and underlying data quality issues.- Setup daily Hadoop build to produce popularity features from behavioural data, written in Pig Latin and Python.- Developed front end internal tools in Javascript for offline evaluation of machine-learned relevance rankings (using D3.js, dc.js, and crossfilter.js).
Vancouver, Bc, Us
- Developed internal tool to enhance efficiency of inter-departmental information transfer (C#, Java)- Development and maintenance on sites for Nike, BMW, and Bombardier (C#, Java)- Developed vehicle data importer for BMW database (C#)
Taught one-on-one conversational English to people of ages 15+
Gatineau, Quebec, Ca
- Developed a Web Mapping Accessibility Template (WMAT) to be used as a basis for all futureCanadian government web mapping endeavours- Wrote server-side VB.NET code and associated SQL queries to retrieve data requested throughASP.NET forms; included thorough security measures to protect critical government data- Utilized JavaScript and the jQuery library for progressive enhancement of WMAT
Gatineau, Quebec, Ca
- Assisted in developing web mapping applications using Adobe Flex 3- Conducted quality assurance by thoroughly testing the applications after each debug cycle- Implemented new features and revised old features in accordance with client requests
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Chris Varano works for Consensus.
Chris Varano is listed as Lead Search Engineer at Consensus at Consensus.
AeroLeads has found 1 work email signal at @google.com for Chris Varano at Consensus.
AeroLeads has found 2 phone signal(s) with area code 650 for Chris Varano at Consensus.
Chris Varano is based in Seattle, Washington, United States while working with Consensus.
Chris Varano has worked for Consensus, Google, Amazon Web Services, A9.Com, and Blast Radius.
You can use AeroLeads to view verified contact signals for Chris Varano at Consensus, including work email, phone, and LinkedIn data when available.
Chris Varano holds Graduate Certificate, Artificial Intelligence from Stanford University.
Chris Varano is listed with skills including Python, Software Engineering, Machine Learning, Big Data, Search, Relevance, A/B Testing, and E Commerce.
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