Machine Learning Engineer / Senior Machine Learning Engineer

Cambridge, MA /
Machine Learning /
Full-time
Come work on making voice chat safer and more inclusive with Modulate's Machine Learning Team!

We are looking for talented engineers who can employ their technical skills in speech processing and machine learning to help us develop more sophisticated models of voice chat audio.

The salary for this position is set at $125,000/yr or $150,000/yr for the Senior role

To avoid losing progress on your application, please feel free to complete responses separately in a local or cloud-saved document. If you encounter an error, any responses entered in the fields on the application will not be saved.

As a Machine Learning Engineer, you will:

    • Train and deploy deep learning models that classify signals of toxic behavior
    • Experiment and improve models using State-of-the-Art techniques
    • Analyze model performance across large amounts of in-domain data

As a Senior Machine Learning Engineer, you will also:

    • Design, spec, estimate timelines for, and deliver machine learning project/objectives
    • Own research directions or models important to overall company objectives
    • Mentor other engineers and act as a resource capable of discussing / representing machine learning at Modulate to other members of the team

Desired Qualifications:

    • Experience building deep neural networks with modern machine learning frameworks and tools, such as PyTorch or Tensorflow
    • Experience collaborating on a codebase with a team using version control tools like git
NOTE for the questions "Your fit for the role", "Your values/goals", and "Why Modulate?" on the following form:

Please avoid disclosing any details which would directly reveal your race, age, gender, ethnicity, sexual orientation, or other protected demographic status. We are only looking for information which directly relates to your ability to succeed in the given role. (For this same reason, resumes will not be viewed during the initial steps of the hiring process, as it’s been shown that resumes often lead to strong biases in hiring processes. If you feel that elements of your resume directly correspond to the questions below, though, feel free to copy them in.)