Langsung ke konten utama
Kembali ke Lowongan

Software Engineer - Forecasting & Scheduling

Bantu perkirakan volume kontak dan jadwalkan agen dukungan.

Bergabunglah dengan Assembled untuk mengembangkan antarmuka ramah pengguna yang memprediksi volume kontak dukungan dan mengoptimalkan penjadwalan ribuan agen. Anda akan bekerja pada pipa data, server inferensi, dan MLOps, memastikan efisiensi dan akurasi dalam operasi dukungan pelanggan.

Kenapa Menarik?

Kesempatan untuk berdampak pada platform AI-dukungan pelanggan yang inovatif.

Tanggung Jawab Utama

  • Membangun antarmuka dan sistem untuk memprediksi volume kontak dan menentukan kebutuhan agen.
  • Mengimplementasikan penjadwalan otomatis untuk tim dukungan yang besar, memperhitungkan preferensi dan batasan hukum.
  • Meningkatkan operasi ML untuk iterasi model yang cepat.

Persyaratan

  • Pengalaman dengan paket ML Python (pandas, SciPy, seaborn).
  • Latar belakang dalam tim ML atau algoritma.
  • Fokus pada kinerja statistik dan runtime.

Skills Wajib

machine learningpythondata-pipelinesinference-serversmlops

Konteks Indonesia

Overlap Jam Kerja:
Overlap minimal — jam kerja berlawanan
Lihat selisih gaji remote (USD) vs lokal →

Keywords

mlopsforecastingschedulingsupport-operationspythonmachine-learningremote
Lihat Deskripsi Asli dari Ashby Job Boards

Deskripsi asli dari Ashby Job Boards

ABOUT ASSEMBLED Great customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. WHAT YOU’LL WORK ON - Predicting contact volume: Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents required for specific days and times. - Scheduling 1000s of support agents: Designing and implementing interfaces to collect and store team preferences and customer business constraints (e.g., labor laws), enabling the creation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints. (check out https://en.wikipedia.org/wiki/Nurse_scheduling_problem) - MLOps: Enhancing machine learning efficiency and operations to support rapid model deployment and iteration. ABOUT YOU (SPECIFICALLY) - Familiarity with ML packages and software: Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work. - Background in ML or algorithmic teams: Previous experience working on a machine learning or algorithmic team. - Passion for performance: A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling. We know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! For United States Applicants: Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. For United Kingdom Applicants: Assembled is required to verify your right to work in the UK and will conduct a Right to Work check prior to employment in accordance with applicable law.

Lamar gratis

Akun gratis · tanpa kartu kredit · Masuk

Pro Rp39rb/bln · lamar tanpa batas + resume AI

Lihat 5 lowongan serupa →

Rekrut di US saja

Pemberi kerja ini sepertinya hanya merekrut di wilayah di atas. Pastikan kamu memenuhi syarat direkrut dari Indonesia sebelum melamar.

Perusahaan
Assembled
Sumber
Ashby Job Boards
Tipe Pekerjaan
full time
Lokasi
United States · Remote
Kategori
Level
mid
Diposting
8 Mei 2026

Bagikan lowongan ini

Bantu temanmu nemu kerja remote berikutnya.

Data & laporan pasar

Riset gaji & permintaan skill dari data lowongan kami sendiri.

Lamar gratis

Akun gratis · tanpa kartu kredit · Masuk

Pro Rp39rb/bln · lamar tanpa batas + resume AI