Machine Learning Research Scientist – Atomistic AI - 2026 Start (PhD)

ByteDance; Seattle (WA); On-site; USD 137,750 - 237,500; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

10 paid holidays per year

17 days of Paid Personal Time

Job summary

A leading tech company is seeking a Machine Learning Research Scientist Graduate to join their AI for Science team. This full-time position offers an exciting opportunity to work at the intersection of machine learning and natural sciences, focusing on innovative research and real-world applications. Ideal candidates will have a Ph.D., strong skills in machine learning algorithms, and a collaborative spirit to contribute to groundbreaking projects starting in 2026.

Qualifications

• Ph.D. in relevant field preferred; strong understanding of machine learning algorithms.
• Proven track record of high-impact publications.
• Demonstrated ability to thrive in interdisciplinary environments.

Responsibilities

• Develop AI applications for natural sciences using machine learning and quantum chemistry.
• Collaborate on interdisciplinary research projects to drive real-world applications.
• Stay updated with cutting-edge research methodologies.

Skills

Machine Learning Algorithms

Software Development

Interpersonal Communication

Independent Research

Teamwork

Education

Ph.D. in Machine Learning

Ph.D. in Computational Biology

Ph.D. in Computational Materials Science

Tools

AI Force Field Models

Molecular Dynamics Algorithms

Job description

Machine Learning Research Scientist Graduate (Atomistic AI) - 2026 Start (PhD)

Join to apply for the Machine Learning Research Scientist Graduate (Atomistic AI) - 2026 Start (PhD) role at ByteDance

Machine Learning Research Scientist Graduate (Atomistic AI) - 2026 Start (PhD)

Join to apply for the Machine Learning Research Scientist Graduate (Atomistic AI) - 2026 Start (PhD) role at ByteDance

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This range is provided by ByteDance. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$137,750.00/yr - $237,500.00/yr

Responsibilities

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 looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Successful candidates must be able to commit to an onboarding date by end of year 2026.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.

• Stay up to date with cutting-edge research and collaborate with the team to develop a broad and in-depth understanding of key technical domains.
• Apply interdisciplinary approaches—combining machine learning, quantum chemistry, molecular dynamics, and other methods—to explore novel applications in biology and materials science.
• Integrate internal and external research outcomes to drive real-world implementation of research achievements and create widespread impact.
  
  

Qualifications

Minimum Qualifications:

• Ph.D. degree in Machine Learning, Computational Materials Science, Computational Biology, or a related field is preferred.
• Strong understanding of machine learning algorithms, with extensive hands-on experience and software development knowledge.
• Proven track record of publications in high-impact, peer-reviewed scientific journals.
• Demonstrated ability to conduct independent and innovative research; capable of thriving in a fast-paced, interdisciplinary environment.
• Excellent teamwork and interpersonal communication skills, with the ability to convey complex ideas effectively.
  
  

Preferred Qualifications

• AI force field models and atomic/molecular foundational models
• Molecular dynamics enhanced sampling algorithms integrated with generative models
• Design of biomolecules or material molecules
• Deep engineering optimization and acceleration of AI-driven molecular dynamics simulations
  
  

【For NYC】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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Software Development

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