Platform Engineer - Model Shaping

Job not on LinkedIn

July 17

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $200k - $290k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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Together AI

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Artificial Intelligence • SaaS • Enterprise

Together AI is a company focused on accelerating the generative AI lifecycle by providing solutions for training, fine-tuning, and deploying AI models. They offer an end-to-end platform for leveraging pre-trained models, adapting them to specific needs, or building custom models from scratch. Together AI supports AI compute solutions with its Together Inference engine and Together GPU Clusters, allowing for scalable and efficient AI operations. Their infrastructure is powered by advanced GPUs and optimized software stacks for high performance in AI tasks.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $102.5M Series A on 2023-11

📋 Description

•The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. •We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. •You will work on the foundational layers of Together’s platform for model customization and evaluation. •You will design the infrastructure and backend services that will allow us to sustainably and reliably scale the systems powering production workflows launched by our users, as well as internal research experiments. •You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on.

🎯 Requirements

•3+ years of experience in building infrastructure or backend components of production services •Comfortable with the fundamentals of Linux environments and modern container/orchestration stacks (e.g., Docker and Kubernetes) •Strong software engineering background in Python or Go •Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD) •Skilled with analyzing non-trivial issues of complex software systems and documenting your findings •Have cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment •Strong communication skills, willing to document systems and processes and collaborate with peers of varying technical expertise

🏖️ Benefits

•Competitive compensation •Startup equity •Health insurance •Flexibility in terms of remote work