Applied Scientist - Computational Modeling & Optimization

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Company: TikTok

Location: San Jose, CA 95123

Description:

Responsibilities

About the team
The System Technology and Engineering (STE) team, has been committed to the development and research of infrastructure system technologies, such as operating system kernel, various virtualization technologies (Cloud Native, SDN, NFV), performance optimization of system software and libraries, stability and reliability of large-scale data center, collaborative design of next-generation hardware and software, etc. We actively participate in open-source communities and incorporate cutting-edge technology and innovation into our products.

Responsibilities:
- Collaborate closely with team members from diverse fields to deeply understand the data and the context of challenges in next-generation hardware and software design.
- Design, implement, and evaluate state-of-the-art solutions to large-scale optimization problems.
- Utilize innovative and critical thinking to actively implement your ideas in daily tasks.
- Stay updated on recent advancements and actively discuss and share insights with team members.

Qualifications

Minimum Qualifications
- Ph.D. or Master's degree with experience in science, technology, engineering, or a related field. Recent graduates are highly encouraged to apply!
- Familiarity with general ML/DL techniques, algorithms and frameworks like PyTorch or TensorFlow.
- Experience programming in Python, C++, or related languages.
- A strong sense of responsibility, coupled with exceptional communication and teamwork skills.

Preferred Qualifications
- Ph.D. in applied mathematics, theoretical computer science, electrical engineering, or a related field.
- Strong background in one of the following areas: graph theory, non-convex optimization, operations research, computational mathematics, or reinforcement learning.
- 3 years of academic and/or industry experience in solving large-scale optimization problems.
- Interest or experience in hardware design.
- Experience in AI model development, training, evaluation and deployment on cloud, cluster, or on-premises.
- Experience with CUDA programming.

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Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $145000 - $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.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

TikTok Accommodation

TikTok 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://tinyurl.com/RA-request

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