Senior Engineer, ML Systems (AI Products)
Bangun infrastruktur AI yang skalabel untuk jutaan pengguna di Xero
Sebagai Senior Engineer ML Systems, kamu akan memimpin desain dan implementasi infrastruktur AI di Xero. Kamu akan mengelola teknis debt, memastikan sistem tetap fleksibel dan efisien biaya, serta meningkatkan kemampuan teknis tim AI Products. Kamu akan bekerja dengan tim yang beragam, menggunakan teknologi seperti Python, SQL, Spark, dan AWS EMR.
Kenapa Menarik?
Kamu akan bekerja dengan tim yang beragam dan terdistribusi secara global, serta mempengaruhi produk yang digunakan jutaan pengguna sehari-hari.
Tanggung Jawab Utama
- Memimpin desain dan implementasi infrastruktur AI yang skalabel
- Mengelola teknis debt dan memastikan sistem tetap fleksibel dan efisien biaya
- Meningkatkan kemampuan teknis tim AI Products
- Mentor junior engineers dan kolaborasi dengan tim lain di Xero
- Menggunakan teknologi seperti Python, SQL, Spark, dan AWS EMR
Persyaratan
- Pengalaman dalam system design dan coding dengan Python atau bahasa lain yang sesuai
- Paham mendalam tentang distributed processing dan SQL
- Kemampuan komunikasi yang baik untuk menerjemahkan konsep teknis yang kompleks
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Keywords
Lihat Deskripsi Asli dari Ashby Job Boards
Deskripsi asli dari Ashby Job Boards
The role / impact You will lead the design and implementation of AI research and production infrastructure at scale, ensuring our systems remain flexible, cost-effective, and robust. By managing technical debt and directing strategies for distributed systems, your technical decisions will directly influence products that serve millions of daily users. Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability, ensuring we solve complex technical challenges with the right methods. The team / how they connect You will join the AI Products group, a diverse, globally distributed team of scientists, engineers, product managers, and analysts within our broader Data & Science division. Machine Learning Engineers partner closely with Applied Scientists during the research phase to build interfaces and harnesses that safely transition models from research to production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses. The team is currently working on - Refactoring complex systems and designing highly scalable, distributed production infrastructure to support next-generation AI features - Harnessing Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workloads - Developing production environments utilizing established AI frameworks, data orchestration tools like Airflow or Prefect, and managing cloud workloads via AWS EMR - Exploring and applying modern Large Language Model technologies to drive continuous product innovation Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - You will bring excellent system design and coding proficiency in Python or alternative languages suited for web-scale AI applications - A deep understanding of distributed processing principles alongside strong SQL capabilities is essential for success - Your exceptional communication skills enable you to easily translate complex technical concepts for both business and technical audiences - Having a natural coaching mindset will allow you to successfully establish engineering standards and mentor junior machine learning colleagues - An eagerness to learn, master, and implement Large Language Model technologies into product features - Experience utilizing frameworks like MLFlow, TensorFlow, or PyTorch, combined with knowledge of data orchestration tools, will be highly valued Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Konteks Gaji
Posisi Engineering serupa di LokerDollar dibayar sekitar $198.5k/yr (kisaran $38.623k–356k/yr, dari 241 listing aktif).
Perekrutan di Xero
Xero punya 18 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 14 Mei 2026 — di kategori Engineering, Marketing, Operations.
- Head of Product - Cloud Engineering
- Senior TX Specialist (Talent Acquisition) - 12 Month FTC
- Staff Machine Learning Engineer
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Pertanyaan yang sering diajukan
- Apakah Senior Engineer, ML Systems (AI Products) di Xero bisa dikerjakan remote?
- Posisi ini berlokasi di Remote. Detail remote/onsite ada di deskripsi lowongan.
- Jenis pekerjaan apa Senior Engineer, ML Systems (AI Products) di Xero?
- Posisi ini adalah pekerjaan full time.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Xero.
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