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

Washington, United States (On-site)

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

1 Month ago • Upto 1 Years • Monetization

About the job

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tensorflow

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talent-acquisition

Job Description

ByteDance's AI for Science team is looking for a Research Scientist in Machine Learning for Science. You will contribute to cutting-edge machine learning technologies in scientific areas like biology, physics, and materials. Responsibilities include developing and testing new ideas, solving scientific problems, and following state-of-the-art methods. The ideal candidate will have strong technical backgrounds in machine learning, deep learning frameworks like PyTorch and TensorFlow, and proficiency in Python or C/C++. Preferred qualifications include top-tier conference publications, relevant internship experience, or ACM competition wins.

Must have:

Machine learning technical background
Proficient in Python or C/C++
Deep learning frameworks like PyTorch and TensorFlow
Independent problem-solving skills
Good teamwork and communication skills

Good to have:

Top-tier conference papers
Relevant internship experience
ACM competition wins

Perks:

100% premium coverage for employee medical insurance
Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
Flexible Spending Account(FSA) Options
10 paid holidays per year
17 days of Paid Personal Time Off (PPTO)
10 paid sick days per year
12 weeks of paid Parental leave
8 weeks of paid Supplemental Disability
Mental and emotional health benefits through EAP and Lyra
401K company match
Gym and cellphone service reimbursements

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Responsibilities

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, 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 looking for talented individuals to join our team in 2024. 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 one of the following start dates below: 1. January 15, 2024 2. February 5, 2024 3. March 4, 2024 4. May 20, 2024 5. June 10, 2024 6. July 15, 2024 7. August 12, 2024 We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally. Responsibilities: - Participate in the development of cutting-edge machine learning technologies in scientific areas like biology, physics, and materials. - Following SOTA methods, gains deep understanding of broad areas in scientific area. - Develop and test new ideas, end-to-end solving scientifc problems.

Qualifications

1. Machine leaning technical backgrounds in areas like NLP, CV, RL, biology, materials, battery, quantum chemistry or molecular simulation. 2. Proficient in python or C/C++, and have solid programming skills. 3. Proficient in deep learning frameworks such as PyTorch and TensorFlow. 4. Able to solve problems independently, good teamwork and communication skills. Preferred Qualifications: - Candidates with top-tier conference papers, including NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc., relevant internship experience or winners of ACM competitions are preferred 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 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. 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 earlycareers.accommodations@bytedance.com. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

Job Information

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $106590 - $139650 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.​
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: ​
We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. ​
Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. ​
We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. 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.​