Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • ExtraHop Networks

    Senior Software Engineer | Machine Learning Infrastructure

    Seattle, WA, United States

    • Ending Soon

    ExtraHop Networks, Inc. ExtraHop is on a mission to protect and propagate trust by revealing the cybertruth: the truth about the attackers already inside an organizations network, the truth about what theyre doing, and how to stop them at top speed. We partner with every customer, every day, to reveal it. Are you ready to join us? ExtraHop offers

    Job Source: ExtraHop Networks
  • Google

    Staff Software Engineer, Machine Learning Infrastructure Acceleration

    Seattle, WA, United States

    • Ending Soon

    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 3 years of

    Job Source: Google
  • Dice

    Machine Learning Compute Infrastructure Engineer

    Seattle, WA, United States

    • Ending Soon

    Dice is the leading career destination for tech experts at every stage of their careers. Our client, Walkwater Technologies, is seeking the following. Apply via Dice today! ROLE ML Compute Infrastructure Engineer LOCATION Cupertino or Seattle RATE We can pay on C2C or 1099 MAIN SKILLS ML frameworks experience (PyTorch, JAX), Performance analysi

    Job Source: Dice
  • Meta Platforms, Inc.

    Software Engineer (Machine Learning)

    Redmond, WA, United States

    Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Software Engineer (Machine Learning) Job Code: REQ-2406-139085 Job Location: Redmond, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $246536/year to $290180/year + bonus + equity + benefits. Individual pay is determined by skills, qualifica

    Job Source: Meta Platforms, Inc.
  • Meta Platforms, Inc.

    Software Engineer (Machine Learning)

    Redmond, WA, United States

    Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Software Engineer (Machine Learning) Job Code: REQ-2406-139085 Job Location: Redmond, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $246536/year to $290180/year + bonus + equity + benefits. Individual pay is determined by skills, qualifica

    Job Source: Meta Platforms, Inc.
  • Meta Platforms, Inc.

    Software Engineer, Machine Learning

    Bellevue, WA, United States

    Employer: Meta Platforms, Inc. Job Title: Software Engineer, Machine Learning Job Code: REQ-2405-138233 Job Location: Bellevue, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $207,992.00/year to $240,240.00/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, an

    Job Source: Meta Platforms, Inc.
  • ByteDance

    Machine Learning Engineer-Model Training Infrastructure

    Seattle, WA, United States

    • Ending Soon

    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 cr

    Job Source: ByteDance
  • ByteDance

    Machine Learning Engineer-Model Serving Infrastructure

    Seattle, WA, United States

    • Ending Soon

    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 cr

    Job Source: ByteDance

Software Engineer - Machine Learning Infrastructure

Seattle, WA, United States

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

At ByteDance, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for millions of users across all of our products. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at ByteDance.

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

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 and resource management for the multi-tenancy machine learning systems.

Responsible for designing and developing key components of ML infrastructure and mentoring interns.

Qualifications

Proficient in C/C++/Python, and have solid programming skills.

Familiar with deep learning frameworks (TensorFlow/Pytorch).

Experience in developing and deploying large-scale systems.

Ability to work independently and complete projects from beginning to end and in a timely manner.

Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

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 big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

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 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 [email protected].

Job Information:

【For Pay Transparency】Compensation Description (annually)

The base salary range for this position in the selected city is $129960 - $246240 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.

#J-18808-Ljbffr

Apply

Create Email Alert

Create Email Alert

Email Alert for Software Engineer - Machine Learning Infrastructure jobs in Seattle, WA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.