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| 1 | +# ebay |
| 2 | + |
| 3 | + |
| 4 | + |
| 5 | +1. \ |
| 6 | + I am connecting with you for opportunities based in **San Francisco/San Jose, CA**; however, would you also consider eBay opportunities in Austin, TX; Seattle/Bellevue, WA; New York, NY; or Portland, OR; Salt Lake City, UT; Atlanta, GA; or **Full Remote**? Please stack rank your top preferred working location (leave 2/3 blank if not interest in relocation, or include all preferred locations in line 1 if you have no preference.): |
| 7 | + |
| 8 | +1.) **San Francisco/San Jose, CA** |
| 9 | + |
| 10 | +2.) |
| 11 | + |
| 12 | +3.) |
| 13 | + |
| 14 | +1. Have you interviewed with eBay in the past year, or is in touch with an eBay recruiter in the past 3 month? |
| 15 | + |
| 16 | + No, I didn't have any interview with eBay before.  |
| 17 | + |
| 18 | +1. Please list your top 5 technical strengths: |
| 19 | +2. Numerical recipes including algebra, sparse matrix solver, optimization, statistics, data mining, machine learning |
| 20 | +3. parallel programming(multiple threads, multiple processes), memory optimization, and performance tuning for large software systems; |
| 21 | +4. distributed system based on Internet from consistency and replication, including distributed protocols and features application; |
| 22 | + |
| 23 | + |
| 24 | + |
| 25 | +  |
| 26 | + |
| 27 | +1. Please list your top personal strengths: |
| 28 | +2. |
| 29 | + 1. : Curious and Patience |
| 30 | + 2. : Analytical skills. |
| 31 | + 3. : |
| 32 | + |
| 33 | +  |
| 34 | + |
| 35 | +  |
| 36 | + |
| 37 | +1. Can you describe your most challenging project and what steps you individually made to succeed in this project? |
| 38 | + |
| 39 | +Customer engage our one product (highsigma analysis) and find our current solution is slower and accuracy is not good.  |
| 40 | + |
| 41 | + Redesign highSimga application. Decouple application from FE and BE part to improve multiple process scaling up to 200 cores. To resolve high dimension accuracy and performance, combine importance sampling and machine learning method to predict circuit yield. Improve 3-5x speedup under high dimension situation. |
| 42 | + |
| 43 | +  |
| 44 | + |
| 45 | +  |
| 46 | + |
| 47 | +  |
| 48 | + |
| 49 | +  |
| 50 | + |
| 51 | +1. From a scale of 0 to 5, 5 being the highest – what number will you rate yourself in the following areas of experience to overall professional industry peers **(it is not a requirement to have experience in all category):** |
| 52 | + |
| 53 | +  |
| 54 | + |
| 55 | +  (Legend: 0-No knowledge of it, 1-Read or heard about it, 2-Tested it in a lab or academic environment, 3-Professionally worked on it, 4-Professional mastery of it, 5-Wrote a bestselling book/Open-Source code contributor of it) |
| 56 | + |
| 57 | +  |
| 58 | + |
| 59 | +OO Design Proficiency : |
| 60 | + |
| 61 | +Core Java : |
| 62 | + |
| 63 | +C++ (v.11-20) : |
| 64 | + |
| 65 | +Go(pher) Language : |
| 66 | + |
| 67 | +RUST : |
| 68 | + |
| 69 | +Boost Library : |
| 70 | + |
| 71 | +Python : |
| 72 | + |
| 73 | +Linux Distr. Sys. Programing : |
| 74 | + |
| 75 | +Algorithm : |
| 76 | + |
| 77 | +Data Structures : |
| 78 | + |
| 79 | +Succinct data structures : |
| 80 | + |
| 81 | +Information Retrieval (IR) : |
| 82 | + |
| 83 | +Hadoop/HDFS/Hive : |
| 84 | + |
| 85 | +SQL Language : |
| 86 | + |
| 87 | +Spark : |
| 88 | + |
| 89 | +Scala : |
| 90 | + |
| 91 | +NoSQL/MongoDB/Cassandra : |
| 92 | + |
| 93 | +REST/API Development : |
| 94 | + |
| 95 | +Docker/Container : |
| 96 | + |
| 97 | +Kubernetes Integration : |
| 98 | + |
| 99 | +Continuous Integ../Delivery : |
| 100 | + |
| 101 | +  |
| 102 | + |
| 103 | +  |
| 104 | + |
| 105 | +  |
| 106 | + |
| 107 | +1. If we proceed with an interview request...can you provide three calendar openings in the upcoming week(s) for a potential technical phone interview? |
| 108 | + |
| 109 | +| <table data-header-hidden><thead><tr><th></th><th></th><th></th><th></th></tr></thead><tbody><tr><td></td><td>Date</td><td>Start (PST)</td><td>End (PST)</td></tr><tr><td>Example</td><td>Tuesday, Jan 28, 2020</td><td>11:00 AM</td><td>1:00 PM</td></tr><tr><td>1st Availability</td><td> </td><td> </td><td> </td></tr><tr><td>2nd Availability</td><td> </td><td> </td><td> </td></tr><tr><td>3rd Availability</td><td> </td><td> </td><td> </td></tr></tbody></table> | | | | |
| 110 | +| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------- | ----------- | --------- | |
| 111 | +| | Date | Start (PST) | End (PST) | |
| 112 | +| Example | Tuesday, Jan 28, 2020 | 11:00 AM | 1:00 PM | |
| 113 | +| 1st Availability | | | | |
| 114 | +| 2nd Availability | | | | |
| 115 | +| 3rd Availability | | | | |
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