Note: Only W2. No to H1b, C2C, C2H, and 1099 options.
Location: Fully Onsite - Redmond, WA
Duration: 12 Months
Pay rate: $95 - $100/hr on W2
Benefits: PTO, Health, Vision, Dental, Sick Leave, 401k
Our client is looking for ML Systems Engineer with the focus on infrastructure and ML framework / tooling.
We’re looking for a motivated individual who can not only complete tasks independently, but raise concerns proactively and provide input into overall team goals of our client.
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 our client's powerful infrastructure (through e.g. source control, distributed compute clusters, data storage).
- Coordinate with a large set of internal infrastructure and tool teams across the lab and across the organization 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.
Qualifications:
- BS degree in Computer Science or related field
- At least 4 years industry experience with deep learning frameworks in Python, such as Pytorch or Tensorflow.
- At least 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.
- Some deployment and continuous integration experience.
Must Have Qualifications:
- Python and infrastructure focused software engineers
- PyTorch or similar AI/ML engines
- Experience working in a Distributed infrastructure
Preferred Qualifications
- Experience 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 Client solutions
- History of writing code to support the execution of research initiatives
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
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