Machine Learning Engineer

Job Description: *Responsibilities:*

Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage company's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage)

Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued

Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency

Coordinate with a large set of internal infrastructure and tool teams across the lab and across the company to evaluate and integrate with existing systems

Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving

*Requirements:*

Bachelor's degree in Computer Science or related field, or equivalent work experience.

4+ years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.

2+ years industry experience working with large, complex data sets for machine learning, including capture and annotation.

Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.

Experience working with high performance or distributed compute solutions.

Deployment and continuous integration experience.

*Preferred Qualifications:*

Familiarity with Machine Learning for Audio, multimodal or DSP purposes

Experience writing scalable ML tooling/pipelines for use by researchers

Experience in Linux or Windows shell scripting

Ability to gather requirements and work closely with researchers to develop novel solutions

History of writing code to support the execution of research initiatives

*Top 3 must-have HARD skills:*

We're looking for Python and infrastructure focused software engineers

PyTorch or similar AI/ML engines

Distributed infrastructure

*Good to have skills:*

Working with complex, real-world multimodal data

Audio

Collaboration with research users/customers to deliver robust and stable tooling to address their needs

*How many years of experience should they have?*

4+ years of industry experience writing Python / ML code

*What is the Story Behind the Need?*

Backfilling a role for an ML pipeline-focussed software engineer, focussing on efficient and scalable infrastructure, and ML frameworks and tooling