Spark MLLib – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 17 Sep 2024 23:00:03 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Spark MLLib – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Machine Learning Engineer, Forecast Platform https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-forecast-platform/ Tue, 17 Sep 2024 23:00:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-forecast-platform/ Machine Learning Engineer, Forecast Platform

Job Description:

    Join our dynamic team dedicated to enhancing the efficiency of our on-demand delivery logistics engine. We are looking for a skilled Machine Learning Engineer to contribute to the development of our Forecasting Platform, which plays a crucial role in optimizing our three-sided marketplace involving consumers, merchants, and dashers. This position offers a unique chance to make a significant impact on our operations as we navigate a fast-paced and ever-changing environment. You will collaborate closely with engineers, analysts, and product managers to utilize our extensive data and machine learning infrastructure to develop models that address complex business challenges and enhance service quality for our users.

IT Languages:

  • Python
  • R

As a Machine Learning Engineer, you will be responsible for the entire modeling lifecycle, ensuring that our forecasting systems are accurate and effective.:

    Develop time-dependent statistical and machine learning models to address product requirements across various business verticals.;; Handle the end-to-end modeling process including feature engineering, model development, experimentation, and maintenance.;; Contribute to our in-house Forecasting Self-Service Platform and optimize our proprietary Forecasting Repository.;; Research and integrate new tools in the forecasting domain.

Spoken Languages:

  • English;; Spanish

Skillset:

  • Machine Learning
  • Statistical Modeling
  • Python
  • SciKit Learn
  • Lightgbm
  • Spark MLLib
  • PyTorch
  • TensorFlow

Soft Skills:

  • High energy
  • Confident
  • Humble
  • Adaptable
  • Resilient
  • Growth-minded
  • Desire for impact

Qualifications:

  • Master’s degree or higher in a relevant field
  • Proven experience in developing advanced statistical and machine learning models

Years of Experience:

    3

Location:

    Europe

Job Benefits:

  • 401(k) plan with employer match
  • Paid time off
  • Paid parental leave
  • Wellness benefits
  • Medical, dental, and vision benefits
  • Disability and life insurance
  • Family-forming assistance
  • Commuter benefit match
  • Mental health program

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster a collaborative and innovative environment that encourages diverse perspectives and promotes personal development. Our culture emphasizes agility and responsiveness to change, allowing team members to thrive in a fast-paced setting while contributing to meaningful projects. We are committed to inclusivity and support the well-being of all employees.

Opportunities For Advancement:

  • Professional development programs, Mentorship opportunities, Career progression pathways

Visa Sponsorship:

    Available
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