Description:

We are seeking a Senior Machine Learning Engineer at Parable, who will play a crucial role in building our core data science engine that enhances how companies understand and optimize their time.
This position involves collaborating with ML engineers and the CTO to develop advanced models that convert workplace data into valuable insights regarding time and attention.
The ideal candidate thrives at the intersection of experimentation and production, capable of rapidly prototyping models while ensuring scalability and reliability.
The candidate should possess deep expertise in machine learning techniques, having experience in building and deploying various ML models, from classical supervised learning to advanced neural networks.
The role requires extreme ownership, where the candidate takes full responsibility for projects and actively solves problems.
A strong obsession with data and attention to detail is essential, as the quality of models relies on the quality of data.
The candidate must be willing to challenge decisions and engage in thoughtful debate to arrive at the best solutions.
Responsibilities include developing the core data science engine, applying machine learning techniques to large datasets, contributing to ML foundations at Parable, collaborating with the CTO and engineers, creating scalable model architectures, and establishing metrics for model performance.

Requirements:

The candidate must have 3 to 5+ years of experience in building and deploying machine learning models in production environments.
Strong expertise in Python is required.
Proven experience with machine learning frameworks such as TensorFlow and PyTorch, as well as libraries like scikit-learn and pandas, is necessary.
Demonstrable experience with both supervised and unsupervised learning models, including deep learning, regression, and clustering techniques, is essential.
Proficiency in developing and deploying models in cloud-based environments such as AWS, Azure, or GCP is required.
The candidate should have a strong ability to interpret and communicate data insights to non-technical stakeholders.
Experience with big data technologies like Hadoop or Spark is desirable.
A Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field is preferred.

The position offers the opportunity to work remotely, providing flexibility in your work environment.
You will be part of a team that is tackling significant societal challenges related to time management and attention.
The role allows for collaboration with experienced professionals, including the CTO and other ML engineers, fostering a rich learning environment.
You will have the chance to make a tangible impact by developing models that provide valuable insights to customers.
The position encourages rapid experimentation and iteration, allowing for quick learning and measurable results.
You will be involved in shaping the machine learning infrastructure and practices at Parable, contributing to the company's growth and innovation.