Senior Machine Learning Engineer

1 Month ago • 5-7 Years • Artificial Intelligence • Monetization • $211,536 PA - $355,000 PA

Job Summary

Job Description

ByteDance seeks Senior Machine Learning Engineers to develop, build, and optimize large-scale ML systems. Responsibilities include data modeling, feature engineering, hyperparameter tuning, and model selection. The role involves designing and executing user experiments, building ML/deep learning models to predict user behavior, and utilizing big data frameworks like Spark or Hadoop. Collaboration with product managers and other stakeholders is crucial. Candidates must have experience with Python/C++, PyTorch/TensorFlow, Linux, large-scale ML systems, and big data frameworks. Mentoring junior engineers is also part of the role.
Must have:
  • Python/C++ coding
  • PyTorch/TensorFlow expertise
  • Linux environment experience
  • Large-scale ML system development
  • Big data framework (Spark/Hadoop/Flink) usage
  • Data modeling and statistical learning
  • Model optimization and deployment
Perks:
  • Medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave
  • Paid time off
  • 10 paid holidays

Job Details

Responsibilities
About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, 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 plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Formulate real-world user data modeling in statistical learning problems and work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection based on different modeling scenarios to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models and/or infrastructures. Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience. Building and training ML, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks. Use big data frameworks and analytics tools to aggregate, collate, and analyze experiment data. Research and design on ML models to optimize our systems, features, algorithms, and product strategies. Partner with product managers and product strategy and operation team to define product strategy and features. Collaborate with strategy team, product managers, policy team and other key stakeholders to assist in defining products and driving initiatives from ML engineering viewpoint. Mentor junior Machine Learning Engineers and interns.
Qualifications
Qualifications Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Coding using Python or C++; Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow; Developing code and identifying issues in Linux environment; Developing and deploying large-scale machine learning systems; and Utilizing Big data framework Spark, Hadoop, or Flink. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $211536-$355000 per year To Apply, click the apply button below. Contact lpresumes@bytedance.com if you have difficulty submitting resume through the website. ByteDance Inc. 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 lpresumes@bytedance.com. #LI-DNI #IND-DNI
Job Information
【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $211536 - $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.

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:

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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