• Fakultas Teknik Unnur
    From Need to Result
  • Perkuliahan FT
    Suasana Kegiatan Belajar Mengajar di Fakultas Teknik Universitas Nurtanio Bandung
  • Praktikum
    Suasana Praktikum di Fakultas Teknik Universitas Nurtanio Bandung
  • Drum Band
    Drum Band Fakultas Teknik Unnur

CENTER OF EXCELLENCES FOR AIRCRAFT MAINTENANCE


HIMBAUAN!!!

Diingatkan kembali :
Yang menentukan anda diterima di Fakultas Teknik Universitas Nurtanio Bandung adalah hasil tes dalam seleksi penerimaan Mahasiswa baru Fakultas Teknik Universitas Nurtanio Bandung, pihak Universitas tidak bertanggung jawab atas kejadian tersebut. Begitu pula diharapkan calon mahasiswa/ orang tua/ wali untuk tidak menghubungi staff/ karyawan Universitas Nurtanio Bandung agar dapat diterima. Segala biaya yang telah dibayarkan tidak dapat ditarik kembali dengan alasan apapun.


PENGUMUMAN

Pengumuman untuk Mahasiswa Baru yang telah mendaftar ulang Gelombang I & II - KLIK DISINI !!!

Pengumuman Kelulusan PMB Gelombang II T.A. 2018/2019 - KLIK DISINI !!!

Jadwal Tes PMB Gelombang 2 TA. 2018/2019 - KLIK DISINI !!!

Pengumuman Kelulusan PMB Gelombang I T.A. 2018/2019 - KLIK DISINI !!!

Form Pengisian Paket Data Seragam - KLIK DISINI !!!

LOWONGAN DOSEN TEKNIK MESIN, untuk lebih lengkapnya KLIK DISINI !!!

Pendaftaran Mahasiswa Baru Online TA. 2018/2019 - KLIK DISINI !!!

Aktivasi Pendaftaran Mahasiswa Baru Online TA. 2018/2019 - KLIK DISINI !!!


Sehubungan dengan perlunya penukaran bukti pembayaran uang kuliah diluar SPC (Student Payment Center), transfer ATM Non BNI dan transfer ATM Non KTM BNI. Untuk mempermudah mahasiswa/i dalam penukaran, maka penukaran bisa dilakukan dengan cara mengirimkan foto bukti pembayaran ke :
1. Email : keuanganunnur@gmail.com
2. Whatsapp : 0882-1837-5434
3. Line : keuanganunnur
4. BBM : 5F07665E

BERITA & PENGUMUMAN

Diberitahukan kepada mahasiswa baru yang telah mendaftar ulang Gelombang I dan Gelombang II agar hadir pada hari jumat tanggal 3 Agustus 2018 pukul 07.00 WIB untuk pengarahan : Pelaksanaan Kursus Intensive Bahasa Inggris (KIBI) yang akan dilaksanakan mulai tanggal 6 Agustus s/d 5 September 2018 di SESA Husein Sastranegara. Pengenalan Studi Program Pendidikan (PSPP) tanggal […]

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Senior Software Engineer - Machine Learning Platform - San Francisco, CA - Coinbase
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Senior Software Engineer - Machine Learning Platform

San Francisco, CA

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Senior Software Engineer - Machine Learning Platform
San Francisco, CA

Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by creating an open financial system. To achieve this goal, we build systems that bridge the gap between Finance 1.0 and 2.0. A core part of these systems is enabling automation and offloading workflows from human administrators to machines with the goal of increasing efficiency. We use machine learning to do exactly that: fully automate decision making where possible, empower analysts during their decision processes and reduce human errors.

As a Machine Learning Platform Engineer, you will get the chance to build our next generation machine learning infrastructure, enabling our growing Machine Intelligence team to have fast iteration cycles through an easy-to-use training and serving infrastructure. In addition, you will be building and maintaining streaming and batch aggregation pipelines that power real time scoring engines.

Responsibilities

  • Feature Store: Batch and real-time data aggregation and serving layer that powers predictive models.
  • Nostradamus: Training and scoring infrastructure that enable machine learning practitioners to take a model from an idea to production.
  • Evaluation Framework: Backtesting and A/B testing of models.
  • Deep Learning Pipeline: Build pipelines to move terabytes of image data securely, enabling computer vision applications such as analyzing identity documents for authenticity.

Requirements

  • Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
  • Experience building backend systems with a focus on machine learning and/or analytics.
  • Experience applying machine learning to real world problems.

Preferred (not required)

  • Computer Science or related engineering degree
  • Knowledge of Spark, Flink, Kafka

What to send

  • A resume that describes scalable systems you’ve built



Apply For This Job
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