Amazon - Jersey City, NJ

posted 4 months ago

Full-time - Entry Level
Jersey City, NJ
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The Generative AI Innovation Center team helps AWS customers accelerate the use of Generative AI to solve business and operational challenges and promote innovation in their organization. In this role, you are a passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML), and Computer Vision (CV). As a Machine Learning Engineer, you are proficient in developing and deploying advanced ML models to solve diverse challenges and opportunities. You will be working alongside scientists with terabytes of text, images, and other types of data and develop novel models to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will apply classical ML algorithms and cutting-edge deep learning (DL) approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others. The primary responsibilities of this role include interacting with customers directly to understand their business problems and helping them define and implement scalable ML/DL solutions to solve them. You will work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms.

Responsibilities

  • Interact with customers directly to understand their business problems and help them define and implement scalable ML/DL solutions.
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms.
  • Design and run experiments to research new algorithms and optimize solutions.
  • Develop and deploy advanced ML models to solve diverse challenges and opportunities.
  • Apply classical ML algorithms and cutting-edge deep learning approaches to various applications.

Requirements

  • Strong background in Machine Learning and Artificial Intelligence.
  • Proficiency in developing and deploying advanced ML models.
  • Experience with Generative AI, Time Series, ASR, NLU, and CV.
  • Ability to design and run experiments and research new algorithms.
  • Experience in optimizing risk, profitability, and customer experience.

Nice-to-haves

  • Experience with drug discovery applications.
  • Knowledge of customer segmentation techniques.
  • Familiarity with fraud prevention strategies.
  • Understanding of capacity planning and predictive maintenance.
  • Experience in pricing optimization and call center analytics.

Benefits

  • Flexible work hours and arrangements.
  • Mentorship and career growth opportunities.
  • Employee-led affinity groups fostering a culture of inclusion.
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