Software Engineer - Applied Machine Learning

3 Months ago • 3 Years + • Monetization • Research & Development • $136,800 PA - $259,200 PA

Job Summary

Job Description

The Applied Machine Learning (AML) team at ByteDance is seeking a talented Software Engineer to develop and build industry-leading machine learning solutions. As a key member of the team, you will be responsible for the end-to-end development of machine learning solutions, including building a robust machine learning platform backend, developing advanced applied machine learning platforms, optimizing user experiences, ensuring system reliability, and optimizing performance. You will also introduce new system architecture to handle large volumes of requests.
Must have:
  • Bachelor's Degree in Computer Science or equivalent
  • 3+ years of relevant experience
  • Proficiency in backend technologies (Golang/Python/C++)
  • Experience analyzing and troubleshooting distributed systems
  • Familiarity with database systems (MySQL, PostgreSQL)
  • Experience with construction and continuous integration tools
  • Experience building solutions with cloud services (AWS, Google, OCI)
Good to have:
  • Ability to thrive in a fast-paced environment
  • Strong understanding of code optimization and routine tasks automation
  • Proficiency in machine learning frameworks (TensorFlow, PyTorch, MXNet)
  • Solid background in algorithms and data structures
  • Excellent problem-analysis and problem-solving skills
Perks:
  • 100% premium coverage for employee medical insurance
  • Health Savings Account (HSA) with a 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
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: The Applied Machine Learning (AML) team is committed to building industry-leading R&D Machine Learning solutions, including , at-scale deployment, universal deployment capabilities, commercialization solutions, etc. Responsibilities: - Responsible for the end-to-end development of Machine Learning solutions; - Building a world-class next-generation machine learning platform backend, which combines usability, accessibility, elegance, performance, and maintainability; - Develop advanced Applied Machine Learning platforms, and help client developers make decisions to optimize the user experience of our products; - Improve the reliability of the system, and manage the challenges of scale and complexity via the seamless integration of development and operations processes; - Introduce new system architecture, to squeeze extreme performance from hardware and handle large amounts of requests.
Qualifications
Minimum Qualifications - Bachelor's Degree in Computer Science or equivalent with 3+ years of relevant experience; - Proficiency in backend-related technologies such as Golang/ Python/ C++; - Proven experience in analyzing and troubleshooting distributed systems. - Familiar with commonly used database systems, like MySQL and PostgreSQL; - Familiar with construction and continuous integration, familiarity with at least one construction tool,like Ansible, Terraform, Jenkins ,Helm Chart, etc.; - Familiar with building solutions with AWS, Google, OCI, or other cloud services. Preferred Qualifications - Ability to thrive in a fast-paced environment. - Strong understanding of code optimizing and routine tasks automation. - Proficiency in at least one machine learning framework: TensorFlow, PyTorch or MXNet - Solid background of algorithms and data structures. - Excellent problem-analysis and problem-solving skills, able and willing to seek challenges, and acquire new knowledge. 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 https://shorturl.at/cdpT2 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 $136800 - $259200 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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