Sr Software Engineer - ML Infrastructure Remote / Hybrid
Company: Tbwa Chiat/Day Inc
Location: San Francisco
Posted on: October 29, 2024
Job Description:
Sr Software Engineer - ML InfrastructureRemote / HybridCompany
Overview:At Yurts, we are at the forefront of driving innovation in
machine learning (ML) infrastructure to deliver cutting-edge
solutions. Our mission is to create robust ML infrastructures
leveraging Kubernetes and containerization technologies, optimizing
ML inference for high-performance and low-latency models. We are
seeking a highly skilled Senior Software Engineer for ML
Infrastructure to join our dynamic team and lead the development of
state-of-the-art ML deployment systems.Responsibilities:
- Design, deploy, and maintain robust ML infrastructures using
Kubernetes and containerization technologies to enable seamless and
scalable deployment of machine learning models.
- Utilize your deep knowledge of CUDA and GPU-accelerated
computing to optimize ML inference, delivering high-performance and
low-latency models for demanding applications.
- Champion DevOps practices and streamline CI/CD pipelines to
enhance the software development lifecycle and increase deployment
efficiency.
- Lead efforts to develop and implement model scheduling and
autoscaling strategies, dynamically allocating resources based on
real-time inference demands to ensure optimal resource
utilization.
- Collaborate with cross-functional teams, taking an active role
in architectural discussions and hands-on development to drive
innovation and push the boundaries of ML
infrastructures.Requirements:
- 5+ years of relevant experience in ML infrastructure
development.
- 1+ years of professional development experience with Rust
- Proven track record of extensive experience with Kubernetes and
containerization technologies, demonstrating a strong ability to
deploy and manage distributed systems at scale.
- Hands-on experience in optimizing ML inference using CUDA and
GPU-accelerated computing, achieving significant performance gains
for complex ML models.
- Deep understanding of DevOps practices and experience
implementing CI/CD pipelines, ensuring a smooth and efficient
development and deployment process.
- Demonstrated expertise in model scheduling and autoscaling
techniques, allowing dynamic resource allocation to meet varying
inference workloads.
- Strong architectural and software development skills, with a
passion for crafting elegant and efficient solutions that push the
boundaries of ML infrastructure capabilities.Preferred
Qualifications (not mandatory):
- Experience in deploying and managing machine learning models in
cloud environments such as AWS, GCP, or Azure.
- Knowledge of machine learning frameworks such as TensorFlow,
PyTorch, or ONNX, and their integration with inference
enginesNote:At Yurts, we believe in harnessing the power of ML
infrastructure to achieve outstanding performance. If you're
interested in exploring the possibilities of machine learning and
its potential impact, check out our blog: The bridge to enterprise
AI - Yurts Enterprise AI - Blog for fascinating insights. This will
give you a glimpse of the exciting world of ML infrastructure and
its applications.Compensation Information$180,000 - $220,000
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Keywords: Tbwa Chiat/Day Inc, Dublin , Sr Software Engineer - ML Infrastructure Remote / Hybrid, IT / Software / Systems , San Francisco, California
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