Quantum Technologies - Los Angeles, CA

posted 3 months ago

Full-time
Los Angeles, CA
Professional, Scientific, and Technical Services

About the position

As a Machine Learning Engineer at Quantum Technologies LLC, you will play a pivotal role in developing innovative software and systems that leverage machine learning techniques. This position is based in North Hills, California, and is a W-2 employment opportunity, meaning that you will be on the company payroll. The role is expected to last for a duration of 6 months, and you will be working in domains such as insurance, education, and IT/software. Your primary responsibilities will include designing trials and tests to measure the success of the software and systems you develop, as well as collaborating with both teams and independently to implement AI models that can significantly impact various industries. In this role, you will be expected to have a strong aptitude for statistics and probability calculations, which are essential for analyzing data and improving machine learning models. Familiarity with machine learning frameworks such as Scikit-learn, Pytorch, Keras, and TensorFlow is crucial, as these tools will be integral to your daily tasks. The ideal candidate will possess a strong eagerness to learn and a determination to overcome challenges, as the nature of machine learning often involves trial and error. Your desire to design AI technology that serves humanity will align with the company's mission to create impactful solutions. Quantum Technologies LLC is committed to fostering an inclusive workplace, and we encourage candidates from diverse backgrounds to apply. We adhere to equal opportunity employment practices and ensure that all hiring, promotion, and compensation decisions are made without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or any other protected status. We also comply with all applicable labor and employment laws, ensuring a fair and equitable hiring process for all candidates.

Responsibilities

  • Develop new software and systems utilizing machine learning techniques.
  • Design trials and tests to measure the success of software and systems.
  • Collaborate with teams and work independently to design and implement AI models.

Requirements

  • A strong aptitude for statistics and calculating probability.
  • Familiarity with machine learning frameworks such as Scikit-learn, Pytorch, Keras, and TensorFlow.
  • An eagerness to learn and adapt to new challenges.
  • Determination to persist through failures and continue experimenting.
  • A desire to design AI technology that better serves humanity.
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