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Lead Machine Learning Scientist - Remote

Posted 14 weeks ago
Data Analysis
Full Time
USA, Canada

Overview

OneSix is seeking Lead Machine Learning Scientists to collaboratively design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. This role involves leading project teams, designing project scopes, and working directly with clients to deliver state-of-the-art solutions.

In Short

  • Collaborate with machine learning scientists and engineers.
  • Develop, train, and validate machine learning algorithms.
  • Apply techniques like classification, clustering, and deep learning.
  • Identify areas of opportunity within projects.
  • Research new ML and AI techniques.
  • Work in a fully remote, Agile-like environment.
  • 3+ years of experience in machine learning products required.
  • Experience with statistical modeling and hypothesis testing.
  • Proficient in SQL and Python.
  • Familiarity with Git for collaboration.

Requirements

  • 3+ years of experience shipping machine learning-based products.
  • Experience in statistical modeling and hypothesis testing.
  • Proficient in writing clean, efficient SQL.
  • Experience in building and testing Python applications.
  • Knowledge of deep neural networks using PyTorch or TensorFlow.
  • Ability to collaborate via Git.

Benefits

  • Competitive compensation.
  • Company-paid medical, vision, dental, and wellness benefits.
  • Company-provided home office equipment.
  • Flexible vacation and sick days.
  • Supportive working environment.
  • Company-sponsored events and swag.

O.E

OneSix - External

OneSix is a dynamic company dedicated to delivering impactful solutions across various industries, including manufacturing, gaming, agriculture, automotive, and healthcare. With a strong focus on research and development, OneSix excels in not only creating tailored solutions for clients but also in implementing and scaling these solutions through robust engineering practices. The company emphasizes the application of data science and machine learning to tackle real-world challenges, fostering a collaborative and innovative environment where expertise in statistical modeling, machine learning algorithms, and software development is highly valued.

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