3 дня назад
Applied ML Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied ML Engineer (AI): Building and deploying efficient foundation models for enterprise customers with an accent on inference optimization, model serving, and performance profiling. Focus on bridging the gap between research prototypes and production-ready systems in constrained environments.
Location: Must be based in Japan (Hybrid, Tokyo office attendance 1-2 times per week)
Company
is an MIT CSAIL spin-out building general-purpose, efficient AI systems for deployment across diverse hardware, from data centers to edge devices.
What you will do
- Own end-to-end applied ML projects for Japanese enterprise customers, from discovery to production deployment.
- Integrate, profile, and optimize model inference to meet strict requirements for latency, throughput, and reliability.
- Develop software infrastructure including data pipelines, evaluation systems, and serving components.
- Perform fine-tuning and post-training using techniques like SFT and preference optimization.
- Design task-specific evaluations and conduct systematic error analysis to iterate on model performance.
- Collaborate with global research and engineering teams to influence the product roadmap based on field insights.
Requirements
- Must be based in Japan and able to work from the Tokyo office 1-2 times per week.
- Strong engineering skills with experience shipping production-quality ML systems.
- Hands-on experience deploying modern language or multimodal models beyond proof-of-concept.
- Proficiency in model serving, performance profiling, and inference optimization.
- Professional proficiency in English for global technical collaboration.
- Ability to lead technical discussions with customers and translate ambiguous needs into sound plans.
Nice to have
- Working proficiency in Japanese.
- Experience with LLM post-training methods.
- Familiarity with deployment frameworks like vLLM, SGLang, llama.cpp, or ONNX Runtime.
- Experience with quantization or hardware-aware optimization for edge platforms.
Culture & Benefits
- High-impact work on foundation models in a rapidly growing market.
- Collaborative, growth-driven environment with direct access to core research teams.
- Flexible working hours with a primarily remote work policy.
- Competitive salary and equity in a unicorn-stage company.
- Unlimited paid time off and standard benefits for employees in Japan.
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