Payrate: $ - $ /hr.

Responsibilities: Write clean, maintainable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency. Create robust, flexible and scalable ML tooling and infrastructure which supports research scientists to leverage Company’s powerful infrastructure (through source control, distributed compute clusters, data storage). Coordinate with a large set of internal infrastructure and tool teams across the lab and across Company to evaluate and integrate with existing systems. Work collaboratively as part of a multifunctional team where communication, documentation and teamwork are highly valued Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.

Requirements: BS degree in Computer Science or related field, or equivalent work experience. years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow. 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. Some deployment and continuous integration experience.

Preferred Qualifications: Familiarity with Machine Learning for Audio, multimodal or DSP purposes Experience working in the AR/VR application space. 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 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 AR/VR

Pay Transparency: The typical base pay for this role across the is: $ - $ /hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Fulltime employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, paid days off, (k) plan participation, commuter benefits and life and disability insurance.

Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology including calls from an AI Voice Recruiter.

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