Research Scientist in Machine Learning for Science (AML - AI-for-Science) - 2024 Start (PhD)

$106,590 - $139,650/Yr

Bytedance - Seattle, WA

Full-time - Entry Level

Seattle, WA

Professional, Scientific, and Technical Services

About the position

ByteDance is seeking a Research Scientist in Machine Learning for Science to join our AI-for-Science team, which focuses on leveraging advanced computational tools to tackle challenges in natural sciences such as biology, physics, and materials. The successful candidate will participate in the development of cutting-edge machine learning technologies aimed at creating breakthroughs in these fields. This role offers an unparalleled opportunity for recent graduates to kickstart their careers, pursue bold ideas, and explore limitless growth opportunities within a dynamic and innovative environment. As a member of the AI for Science team, you will be expected to gain a deep understanding of state-of-the-art (SOTA) methods and apply them to solve complex scientific problems. You will develop and test new ideas, contributing to end-to-end solutions that address significant challenges in the natural sciences. The ideal candidate will have a strong technical background in machine learning, particularly in areas such as natural language processing (NLP), computer vision (CV), reinforcement learning (RL), and computational chemistry. This position is designed for graduates who are ready to make an impact in the field of machine learning applied to science. You will work collaboratively with a team of talented individuals who share a passion for innovation and creativity. ByteDance values diversity and is committed to creating an inclusive environment where all employees can thrive. We encourage candidates from all backgrounds to apply and join us in our mission to inspire creativity and enrich life.

Responsibilities

• Participate in the development of cutting-edge machine learning technologies in scientific areas like biology, physics, and materials.
• Gain a deep understanding of broad areas in scientific research following state-of-the-art methods.
• Develop and test new ideas, providing end-to-end solutions to scientific problems.

Requirements

• Machine learning technical background in areas such as NLP, CV, RL, biology, materials, battery, quantum chemistry, or molecular simulation.
• Proficient in Python or C/C++ with solid programming skills.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Ability to solve problems independently and possess good teamwork and communication skills.

Nice-to-haves

• Candidates with top-tier conference papers (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD) are preferred.
• Relevant internship experience or winners of ACM competitions are preferred.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents.
• Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.