Member Of Technical Staff (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Member Of Technical Staff (AI): Develop and optimize high-performance software for post-training AI models with an accent on scalable distributed training and performance optimization. Focus on designing and implementing state-of-the-art model training techniques and bridging research with production deployment.
Location: Hybrid in London, Paris, Toronto, New York, Montreal, San Francisco with remote-friendly options
Company
is a leading AI company focused on training and deploying frontier models to power advanced AI systems for developers and enterprises.
What you will do
- Design and implement scalable, high-performance software for model training and post-training optimization
- Consistently improve models to achieve state-of-the-art performance
- Collaborate with specialist teams to produce comprehensive high-quality models
- Develop techniques to enhance training cycles in supervised fine-tuning and reinforcement learning regimes
- Research and experiment with ideas on supercompute and data infrastructure
- Work closely with top researchers in AI and machine learning
Requirements
- Location: Hybrid work in specified cities with remote-friendly culture
- English: B2 level or higher required
- Strong software engineering skills with proficiency in Python and ML frameworks (JAX, PyTorch, XLA/MLIR)
- Experience with distributed training infrastructures (Kubernetes, Slurm) and frameworks like Ray
- Hands-on experience training large-scale models and post-training performance optimization
Nice to have
- Publications at top-tier ML conferences (NeurIPS, ICML, ICLR, etc.)
Culture & Benefits
- Inclusive and open work environment
- Work with cutting-edge AI research teams
- Weekly lunch stipend, in-office lunches, and snacks
- Full health, dental, and mental health benefits
- 100% parental leave top-up for up to 6 months
- Personal enrichment budgets for arts, fitness, and workspace improvements
- Remote-flexible with offices in multiple major cities and co-working stipend
- 6 weeks of vacation (30 working days)
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