Machine Learning Engineer - Model Serving Infrastructure - USDS

Responsibilities:
- Responsible for the design and implementation of distributed inference infrastructure for feeds, ads and search ranking models.
- Responsible for building monitoring/managing tools to oversee the reliability and scalability of online inference servers
- Responsible for triaging system inefficiency and bottlenecks and improving system performance
- Responsible for building tools to analyze bottlenecks and sources of instability and then design and implement solutions
- Responsible for collaboration with product teams and providing general solutions to meet their requirements

Qualifications

Minimum Qualifications
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role
- Proficient in C/C++/CUDA, and have solid programming skills.
- Familiar with deep learning serving frameworks (TensorFlow Serving/TorchScript).
- Experience in GPU performance optimization

Preferred Qualifications
- Experience contributing to an open sourced machine learning framework (tensorflow / jax / pytorch / torchscript / mxnet / tensorrt).
- Experience in developing and deploying large-scale systems.
- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/RDMA) or ML for Systems.
- Ability to work independently and complete projects from beginning to end and in a timely manner.
- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
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Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $137750 - $237500 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.