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Machine Learning Engineer – Model Training Infrastructure
Machine Learning Engineer – Model Training InfrastructureNLP PEOPLE • Seattle, WA, United States
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Machine Learning Engineer – Model Training Infrastructure

Machine Learning Engineer – Model Training Infrastructure

NLP PEOPLE • Seattle, WA, United States
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Responsibilities

The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training, model deployment, and other core business functions. The team oversees the company’s critical machine learning platform and serves as a foundation for recommendation, advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.

We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

Responsibilities

  • Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
  • Responsible for improving use-ability and flexibility of the machine learning infrastructure.
  • Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
  • Responsible for designing and developing key components of ML infrastructure and mentoring interns.

Qualifications

Minimum Qualifications

  • At least 5 years of experience in developing and deploying large-scale systems.
  • Proficient in C / C++ / CUDA / Python, and have solid programming skills.
  • Familiar with deep learning frameworks (TensorFlow / Pytorch).
  • Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).
  • Preferred Qualifications

  • Experience contributing to an open sourced machine learning framework (TensorFlow / PyTorch).
  • Experience in using / designing open-source machine learning lifecycle management systems : TFX
  • 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, Lemon8, CapCut and Pico 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 ByteDance

    Inspiring creativity is at the core of ByteDance’s mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life – a mission we work towards every day.

    As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

    Diversity & Inclusion

    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.

    Reasonable Accommodation

    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 : / / tinyurl.com / RA-request

    Job Information

    【For Pay Transparency】Compensation Description (Annually)

    The base salary range for this position in the selected city is $198360 – $416100 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.

    Senior (5+ years of experience)

    Industry, Machine Learning, NLP, Recommendation System, United States

    #J-18808-Ljbffr

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