Senior/ Staff ML Engineer - Recommendations Systems

Grow Therapy · USA

Company

Grow Therapy

Location

USA

Type

Full Time

Job Description

What Youโ€™ll Be Doing:

We are looking for a machine learning engineer who has worked in search and personalization and is scrappy and pragmatic using data and deductive reasoning to apply practical approaches into their algorithms. Theyโ€™ll work directly with our Director of Data to create a search algorithm that improves the matching experience between clients and providers. Your responsibilities will include:

  • Design develop and deploy a scalable search ranking algorithm to enhance user experience on the Grow Therapy platform.

  • Collaborate with data scientists to define and extract relevant features from large datasets.

  • Implement machine learning models for search ranking including training evaluation and optimization.

  • Develop and maintain data pipelines and infrastructure to support the continuous improvement of the search algorithm.

  • Comfortable with A/B testing design and analysis of performance differences between existing and new model variations to ensure confidence in positive business outcome improvements.

Youโ€™ll Be a Good Fit If:

  • Proven experience in building and deploying machine learning models in the context of search ranking or recommendation systems.

  • 5+ years of experience as a ML engineer or Data Scientist- ideally at an early stage or high growth startup - specializing in machine learning algorithms

  • Past experience building algorithms from 0->1 and an entrepreneurial mindset

  • Strong programming skills in Python and SQL.

  • Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Scikit-Learn).

  • Proficiency in working with large datasets data preprocessing and feature engineering.

  • Knowledge of information retrieval natural language processing and ranking algorithms.

  • Ability to work cross functionally with growth engineering product and an executive team

  • Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment.

Salary Range: $170000 - $210000

Apply Now

Date Posted

09/03/2024

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