AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote Worldwide
- Gaji tidak dicantumkan
- Terbuka untuk Indonesia
- Diposting hari ini · lewat Arbeitnow
Bangun sistem kecerdasan buatan untuk keputusan pintar di Tether
Di Tether, Anda akan mengembangkan model kecerdasan buatan untuk memproses data teks dan gambar. Anda akan bekerja di tim AI yang inovatif, menggunakan teknologi blockchain untuk memastikan transaksi aman dan transparan. Tether adalah pemimpin di bidang fintech dengan produk seperti USDT dan solusi energi ramah lingkungan.
Kenapa Menarik?
Dapatkan pengalaman kerja dengan USDT, stablecoin paling dipercaya di dunia yang digunakan oleh ratusan juta pengguna.
Tanggung Jawab Utama
- Mengembangkan model kecerdasan buatan untuk memproses data teks dan gambar
- Meningkatkan keputusan dan perilaku adaptif dalam sistem cerdas
- Mengoptimalkan integrasi data modalitas beragam
- Bekerja sama dengan tim AI untuk mendorong inovasi
- Menggunakan teknologi blockchain untuk memastikan transaksi aman dan transparan
Persyaratan
- Pengalaman dalam multi-modal reinforcement learning
- Kemampuan komunikasi bahasa Inggris yang baik
- Pengalaman dalam pengembangan model kecerdasan buatan
- Minat dalam fintech dan teknologi blockchain
- Kemampuan untuk bekerja secara remote
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Fleksibel — atur jam kerjamu sendiri
Lihat Deskripsi Asli dari ArbeitnowTampilkan selengkapnya
Deskripsi asli dari Arbeitnow
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in multi-modal reinforcement learning to advance next-generation intelligent systems. Your work will focus on optimizing decision-making and adaptive behavior across integrated data modalities such as text, images and audio to deliver enhanced intelligence, robust performance, and domain-specific capabilities for real-world challenges. You will develop and scale reinforcement learning techniques within complex multi-modal architectures, including diffusion-based generative models and autoregressive models for multimodal understanding, as well as resource-efficient models designed for constrained hardware environments. This includes conducting research on reinforcement learning algorithms for multimodal models, spanning diffusion models for image autoregressive models for multimodal reasoning, and unified multimodal frameworks. You are expected to have deep expertise in designing multi-modal reinforcement learning systems and a strong background in advanced model architectures, with a hands-on, research-driven approach to building and deploying novel algorithms and training frameworks. You will design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes. Your responsibilities also include curating multi-modal simulation environments and training datasets, improving baseline policy performance across modalities, and identifying and resolving bottlenecks in multi-modal learning and reward optimization. In addition, you will explore next-generation reinforcement learning paradigms that more directly and effectively learn from environment feedback, with the goa
Kurang cocok? Lowongan serupa yang sedang buka
Lihat 4 lowongan serupa →Lowongan ini bersumber dari Arbeitnow — profil perusahaan dan detail lengkapnya ada di halaman ini. Yang belum bisa kami pastikan otomatis: apakah tautan lamaran ini langsung terbuka. Biasanya tetap berhasil, jadi coba saja — cek lagi nanti kalau gagal terbuka.
Jelajahi lebih lanjut
- Lowongan Engineering Remote Seluruh Dunia
- Lowongan Engineering Remote Terbuka untuk Indonesia
- Lowongan Engineering Remote di Fintech
- Lowongan Engineering di Tether Operations Limited
- Lowongan Kerja Machine Learning Remote
- Lowongan Kerja Blockchain Remote
- Lowongan Kerja Data Processing Remote
- Lowongan Kerja Communication Remote
Data & laporan pasar
Riset gaji & permintaan skill dari data lowongan kami sendiri.
- Skill yang Dicari Perusahaan Remote di Era AISkill paling sering disebut di lowongan aktif per jenis, skill AI, dan yang tumbuh tercepat. Data mingguan.
- Lowongan IT Indonesia vs Remote Global (2026)Analisis data primer 2.049 lowongan: metodologi, klasifikasi, dataset bisa diunduh.
- Permintaan Skill AI: Indonesia vs Global (2026)10.000+ lowongan, classifier taxonomy-first, Wilson CI, pra-registrasi sebelum analisis.
- Remote ≠ Remote: Skill yang Membuka Kerja Global untuk Indonesia (2026)12.891 lowongan remote: skill coding bergaji tertinggi justru paling terkunci untuk pelamar Indonesia. Dataset agregat CC BY 4.0.
- Lapisan Kepatuhan dalam AI Hiring Stack (2026)6.349 lowongan remote: 77,2% tidak menyebut siapa yang boleh melamar. Metodologi dan dataset agregat CC BY 4.0.
- AI di Iklan Lowongan: Indonesia vs Global (2026)Iklan engineering global yang menyebut AI naik dari 3,4% ke 23% sejak ChatGPT; iklan Indonesia dari 2,2% ke 2,8%. Skenario 2027 dan dataset CC BY 4.0.
- Pandora's Box Ep. 1: AI dan Iklan Lowongan Asia Tenggara (2026)118.545 iklan lowongan arsip 2019–2026: iklan web dan software developer menyusut di semua papan, aplikasi ponsel jadi tiket masuk, dan Job X-ray untuk 17 pekerjaan. Dataset CC BY 4.0.
- Cron vs LLM vs LangGraph vs Agen untuk Posting Sosial (2026)Studi pra-registrasi empat cara mengubah artikel blog menjadi posting sosial, di dua model. Pemeriksaan otomatis memilih template cron; model lebih menentukan daripada framework.
- Laporan Hiring Indonesia: Tech vs Non-TechPermintaan lowongan per bidang dari hitungan agregat — bukan listing per-listing.
- Benchmark Gaji IndonesiaKisaran gaji agregat lintas peran, dengan metodologi dan dataset terbuka.
- Indeks Gaji & Permintaan Kerja Remote untuk IndonesiaBerapa banyak lowongan remote global yang terbuka untuk Indonesia, dan gajinya (USD) per bidang.
- Laporan Kuartalan Pasar Kerja IndonesiaPHK, pendanaan, gaji & skill per kuartal — agregat terbuka.
- Laporan Pasar Remote per PeranLaporan otomatis per kelompok peran — skill, senioritas, perusahaan, gaji.
- Benchmark Gaji Remote GlobalGaji tahunan per bidang & mata uang, plus porsi lowongan terbuka untuk seluruh dunia.
Tautan lamaran ini belum terverifikasi.