Algorithm Optimization Specialist / Machine Learning Engineer- Pico- San Jose

San Jose

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ByteDance

ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies.

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Responsibilities

Founded in April 2015, Pico is a leading VR company with independent innovation and R&D capabilities, focusing on VR all-in-one technology. Pico is committed to offering immersive and interactive VR experiences to our customers, including providing tailor-made solutions for our enterprise clients in the fields of education and healthcare.

Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve.
Join us.

About team
We are the Engineering Architecture team of the PICO-Interactive Perception R&D Department. We are responsible for the architecture design and engineering implementation in the Interactive Perception Department. We focus on exploring the low-power consumption deployment of AI models, strive for excellence and aim to become an international team with leading technology.

Responsibilities
- Be responsible for the optimization and deployment of AI algorithms based on Qualcomm chips, and improve the performance of algorithms on the Qualcomm platform.
- Keep regular communication with Qualcomm, closely follow the development trends of Qualcomm chip technology, and provide forward-looking technical suggestions for projects.
- Follow up on the latest development of XR business and promote the development and evolution of low-power edge devices.
- Continuously pay attention to the new technological trends and research results in the industry, and share excellent practices in the industry.
- Promote the development of the AI toolchain and the construction of the technical ecosystem, and be responsible for the software and hardware collaborative design of the AI training system.

Qualifications

Minimum Qualifications:

- Bachelor's degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- 3+ years experience in Python or C++
- Have an in-depth understanding of Qualcomm chip architecture, and be familiar with its working principle and performance characteristics.
- Familiar with AI heterogeneous computing architecture, understand common AI chip architectures and common AI compiler solutions.


Preferred Qualifications:

- Demonstrate strong communication skills and the ability to conduct professional technical discussions with Qualcomm's R&D team.
- Demonstrate strong innovation skills, the ability to independently address technical challenges in integrating complex algorithms with chips, and a proactive drive to explore new AI technologies and application scenarios.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $194000 - $410000 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.​

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Tags: Architecture Computer Science Engineering Machine Learning Python R R&D Research VR

Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus

Region: North America
Country: United States

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