Machine Learning Research Scientist, AI for Science

Seattle

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

About ByteDance
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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.

The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world.

We are seeking a highly skilled Machine Learning Scientist with strong computational biology expertise to join our dynamic team. The ideal candidate will have robust coding abilities and extensive experience in machine learning methodologies. This role involves modeling biological complexes using both data-driven and physics-driven approaches to drive innovation in our research and development efforts.

Qualifications

Minimum Qualifications:
- Educational Background: Ph.D. in Computer Science, Computational Biology, Physics, or a related field.
- Machine Learning Expertise: Deep understanding of machine learning frameworks and tools, particularly in generative models, graph neural networks, and reinforcement learning.
- Domain Knowledge: Extensive experience in modeling biological complexes, including proteins, molecules, and DNA/RNA structures and sequences.
- Publication Record: Proven track record of publications in high-impact, peer-reviewed scientific journals.
- Problem-Solving Skills: Strong analytical abilities with a talent for independent research and innovation. Ability to thrive in a fast-paced, interdisciplinary environment and manage multiple projects simultaneously.
- Communication Skills: Excellent teamwork and interpersonal skills, with the ability to communicate complex ideas effectively.

Preferred Qualifications:
- Experience of molecular dynamics force fields and enhanced sampling algorithms
- Experience of generative modelling of biological complexes
- Experience of quantum chemistry algorithms and applications

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 $212800 - $389500 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: Biology Chemistry Computer Science Generative modeling Machine Learning Physics Reinforcement Learning Research

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

Region: North America
Country: United States

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