Senior Software Development Engineer, Large Language Models & Generative AI

5 Months ago • 6-8 Years • Artificial Intelligence • $194,000 PA - $355,000 PA

Job Summary

Job Description

ByteDance is seeking a Senior Software Development Engineer to join their team pioneering the future of large language model-based applications. This role will focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. Responsibilities include applying in-depth knowledge of AI infrastructure and hardware acceleration techniques to build and optimize intelligent machine learning systems, setting direction and goals for the team, defining use cases and methodologies, leading large technical efforts, and mentoring other engineers.
Must have:
  • Bachelor's degree in computer science or related STEM field
  • Specialized experience in ML/DL domains: hardware accelerators, ML compilers, AI infrastructure, HPC, performance optimizations, ML frameworks (PyTorch)
  • Proven C/C++ and Python programming skills for AI systems infrastructure or algorithms
  • Experience with debugging in C++, Python, and/or PyTorch
  • Defining and leading long-term plans for the team
  • Track record of mentoring and growing other engineers
Perks:
  • 100% premium coverage for employee medical insurance
  • 75% premium coverage 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
  • 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

Job Details

Responsibilities
About Us 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. About the Team Our team is pioneering the future of large language model-based applications with a focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. We're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Our mission is to revolutionize how we engage with machines, making them more intuitive and human-like than ever. With a relentless commitment to excellence and a profound understanding of AI, we are setting new standards and pushing the boundaries of what language model-based applications can achieve. Responsibilities: - Apply in depth knowledge of AI infrastructure and hardware acceleration techniques to build and optimize our intelligent machine learning systems that improve ByteDance’s product and experiences - Set direction and goals for the team related to project impact, AI system design, infrastructure, and developer efficiency - Directly or influencing partners to deliver impact through deep, thorough data-driven analysis - Define use cases and develop methodology and benchmarks to evaluate different strategies - Lead large and complex technical efforts across many engineers and teams - Mentor other engineers, research scientists and improve the quality of engineering work in the broader team - Helps onboard new team members, provides mentorship, and enables successful ramp up on the team's code base
Qualifications
Minimum Qualification: - Bachelor’s degree in computer science or a related STEM field - Specialized experience in one or more of the following machine learning/deep learning domains: hardware accelerator architectures, machine learning compilers or ML systems, AI infrastructure, high-performance computing, performance optimizations or ML frameworks such as PyTorch - Proven C/C++ and Python programming skills in developing AI Systems infrastructure or AI algorithms - Experience with debugging in C++, Python and/or PyTorch - Defining and leading long-term plans for the team - Track record of mentoring and growing other engineers 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 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 #LI-AC13
Job Information
【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $194000 - $355000 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.

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