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      Procore Technologies

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      Senior Machine Learning Engineer Interview

      Aug 20, 2024
      Anonymous Interview Candidate
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Procore Technologies in Aug 2024

      Interview

      Interview Experience I recently went through a smooth interview process that lasted about two weeks, consisting of five rounds. Here's an overview of each round: Round 1: HR Round The HR round was a straightforward conversation that covered: - Salary expectations - Location preferences - Current job role Round 2: Team Round 1 (Director) In this round, I had a discussion with the Director, which included: - Project discussions - A deep dive into recent projects and methodologies (difficulty level: simple-moderate) Round 3: Team Round 2 (Behavioral) This round focused on behavioral questions, assessing: Ownership, Openness, Optimizing (difficulty level: simple-moderate) Round 4: Team Round 3 (ML Technical) The ML Technical round was more challenging (moderate-hard), covering: - System design for churn rate using logistic regression technology stack - LLM experience - Transformer architecture - Self-attention mechanism Round 5: Team Round 4 (Data Science) The final round was the most challenging (hard), focusing on: - Efficient database storage: - Sharding, Caching, Hashing, Sharding on hashing - Monitoring time series models: - Forecasting and confidence intervals - Time series efficient train-test-split Overall, the interview process was well-structured, and I appreciated the opportunity to showcase my skills and experience.

      Interview questions [1]

      Question 1

      LLM Transformer architecture & Self-attention mechanism
      Answer question

      Procore Technologies interviews FAQs

      • Senior Machine Learning Engineer applicants have rated the interview process at Procore Technologies with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 61.3% positive. This is according to Glassdoor user ratings.
      • Candidates applying for Senior Machine Learning Engineer roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Procore Technologies overall takes an average of 26 days.
      • Common stages of the interview process at Procore Technologies as a Senior Machine Learning Engineer according to 1 Glassdoor interviews include:

        Skills test:  25%

        Phone interview:  25%

        Personality test:  25%

        One on one interview:  25%

      • Here are the most commonly searched roles for interview reports -

        1. Account Executive(137) ;
        2. Sales Development Representative (SDR)(94) ;
        3. Customer Success Manager(57) ;
        4. Software Engineer(44) ;
        5. Senior Software Engineer(42) ;
        6. Customer Support Representative(35) ;
        7. Implementation Manager(26) ;
        8. Sales(24) ;
        9. Account Manager(21) ;
        10. Customer Service Representative(20) ;
        11. Customer Success Manager (CSM)(20) ;
        12. Sales Development Representative(16) ;
        13. Staff Software Engineer(16) ;
        14. BDR(14) ;
        15. Project Manager(14) .


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