4 дня назад
Senior Software Engineer (Inference Platform)
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
Senior Software Engineer (Inference Platform): Developing and operating high-performance inference platforms for large-scale machine learning models in drug discovery with an accent on scalability, reliability, and cloud infrastructure. Focus on architecting next-generation inference services, optimizing GPU workloads on GCP/Kubernetes, and partnering with research teams to advance rational drug design.
Location: London (Hybrid: 3 days per week in office)
Company
is a cutting-edge biotech company applying frontier AI and machine learning to accelerate drug discovery and solve complex biological challenges.
What you will do
- Develop and operate an inference platform serving fleets of machine learning models for scientific applications.
- Design strategy and build roadmaps for maturing the inference platform.
- Architect and optimize next-generation inference services to solve core scaling limits and ensure high-throughput performance.
- Partner with science, product, and operations teams to align infrastructure with biotech R&D cycles.
- Contribute to core technical decisions regarding tooling and architectural design.
Requirements
- Must be based in or able to commute to London for 3 days per week.
- Proven experience architecting and managing large-scale AI/ML workloads in production.
- Expertise in cloud compute design, specifically within Google Cloud Platform (GCP).
- Significant experience deploying and managing complex workloads within Kubernetes (GKE).
- Professional familiarity with NVIDIA GPU generations and high-performance compute.
- Strong programming skills and a reliability-first approach to software development.
Nice to have
- Career history spanning both ML Software Engineering and Infrastructure SRE roles.
- Experience leading multi-disciplinary projects and navigating complex stakeholder requirements.
- Familiarity with workload scheduling, ML efficiency research, and hardware benchmarking.
- Experience with Google TPU generations and specialized ML-driven R&D cycles.
Culture & Benefits
- Collaborative, interdisciplinary environment focused on groundbreaking scientific innovation.
- Commitment to equal employment opportunities and inclusive culture.
- Hybrid working model designed to foster knowledge sharing and strong team relationships.
- Opportunity to work on high-impact foundation models in the biotech space.
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